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Do you enjoy finding better ways of doing things? JBS Equipment is seeking a hands-on, results-driven Manufacturing Engineer to help drive continuous improvement initiatives across our manufacturing operations. This role focuses on improving efficiency, productivity, quality, and safety through process optimization, problem-solving, and the implementation of sustainable improvements. This is a highly collaborative, working closely with Engineering, Production, and Purchasing, the Manufacturing Engineer will identify opportunities, develop practical solutions, and implement improvements across fabrication, painting, and assembly operations. As a valued member of the team, you'll contribute to our vision of innovating for our customers... turning impossible to possible! How You'll Make an Impact At JBS Equipment, we use the Plan-Do-Check-Act (PDCA) methodology to drive continuous improvement. In this role, you'll: Identify opportunities to improve safety, quality, productivity, and efficiency. Plan practical solutions through process analysis and Lean methodologies. Do by leading improvement projects and implementing sustainable changes. Check results using KPIs and operational data. Act by standardizing successful improvements and fostering a culture of continuous improvement. Key Responsibilities Identify and implement opportunities to improve manufacturing efficiency, productivity, quality, safety, and cost-effectiveness. Analyze manufacturing processes, workflows, and performance data to identify bottlenecks, inefficiencies, and areas for improvement. Lead continuous improvement initiatives using Lean manufacturing principles and methodologies. Conduct root cause analysis, time studies, and process evaluations to develop practical solutions. Collaborate with cross-functional teams to plan, coordinate, and implement process improvements. Support the introduction and optimization of manufacturing equipment, tooling, jigs, fixtures, and production processes. Develop and maintain standardized work procedures, process documentation, and operational best practices. Monitor key performance indicators (KPIs), measure improvement results, and implement corrective actions as needed. Provide training and support to employees to ensure successful implementation and long-term sustainability of process improvements. Required Qualifications: Degree in Manufacturing Engineering or Industrial Engineering 5+ years of experience in a manufacturing environment, specifically with welding/fabricating, painting, and assembly processes (An equivalent combination of education and experience may be considered.) Experience applying Lean tools such as Value Stream Mapping, 5S, Standard Work, Visual Management, and Root Cause Analysis Demonstrated success in improving flow and reducing waste during the creation and delivery of customer value Skills & Competencies Demonstrate ability to establish priorities, manage multiple initiatives, and achieve SMART goals. Relationships: strong emotional intelligence, collaboration skills Working knowledge in all four English language skills: reading, writing, speaking, and listening. Proficient math, analytical and problem-solving skills Proficiency with Windows operating system, email, word processing, spreadsheet, and presentation software. Intermediate to advanced Microsoft Office skills, with strong proficiency in Excel for data analysis, reporting, and visualization Strong professional and work ethics, self-motivated, accountable and results oriented. Minimum Class 5 Driver?s License and access to an insured vehicle Must be capable of wearing personal protective equipment necessary to comply with government and company safety standards. The ability to perform visual inspections, review documents and technical information, and safely observe manufacturing processes is required. The ability to effectively communicate in of

About Us: Family owned and operated for over 40 years, CF Interiors is an interior designers' playground. Specializing in furniture, rugs, lighting and accessories, CF Interiors prides themselves in servicing interior design professionals across Canada. We're passionate about thoughtfully-designed furniture that lasts, and we strive to provide exceptional customer service to assist designers in curating beautiful spaces. CF Interiors offers leading interior design selections from modern, traditional and transitional furnishings and accessories to suit any aesthetic, and has become Western Canada's premiere trade resource center. About the Role: CF Interiors is seeking a CRM & Data Administrator to help maintain the systems and business data that support our sales, customer, and operational teams. This role will be the primary administrator for HubSpot and will also work with data from our ERP/POS, customer portal, and other business systems. The CRM & Data Administrator will help ensure information is accurate and well organized, maintain reports and dashboards, support system users, and assist with ongoing improvements to our business processes. The ideal candidate is organized, analytical, comfortable working with business systems and large datasets, and enjoys finding practical ways to make information more accurate and useful. Key Responsibilities CRM Administration Serve as the primary day-to-day administrator for HubSpot and related customer-facing systems. Manage users, permissions, fields, pipelines, workflows, lists, sequences, automations, and other system configurations. Maintain the CRM as sales processes and business requirements evolve. Monitor workflows and automations, troubleshoot issues, and coordinate with external support or vendors when needed. Help ensure CRM information is complete, accurate, and consistently maintained. Data Management & Quality Maintain the quality and consistency of customer, company, sales, product, vendor, and other business data. Perform regular data reviews to identify duplicates, incomplete records, inconsistencies, and outdated information. Manage data imports, exports, bulk updates, data cleanup, and routine reconciliations. Help maintain consistent data between HubSpot, our ERP/POS system, customer portal, and other business systems. Document data standards and help employees follow consistent practices when creating and updating information. Reporting & Analysis Build and maintain dashboards and recurring reports for sales teams and management. Work with CRM, ERP/POS, product, vendor, customer, and sales data to provide visibility into areas such as: Sales performance and trends Sales pipeline and opportunities Customer and account activity Product and category performance Vendor performance Conversion and account development Other key business measures Respond to ad hoc reporting requests and help stakeholders find the information they need. Review reports for accuracy and investigate discrepancies when results do not align with underlying data. Help maintain consistent definitions for commonly used reports and business metrics. ERP/POS & Business Data Work with data from CF Interiors' ERP/POS environment, including sales, product, vendor, customer, and transaction information. Assist with maintaining accurate product, vendor, customer, and related business records. Extract, organize, and analyze ERP/POS data for reporting purposes. Reconcile information between systems and help identify the cause of data discrepancies. Work with internal teams to correct data issues and improve how information is maintained. Sales Process Support Maintain HubSpot pipelines and CRM processes that support CF Interiors' B2B sales activities. Partner with sales leadership and users to ensure opportunities, projects, accounts, and activities are accurately captured. * Help maintain clear pipeline stages

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Data Engineer (Coding Agent Experience) Type: Contract Compensation: $80/hour Location: Remote Role Responsibilities Use frontier AI coding agents to complete and evaluate complex data engineering tasks. Review model-generated implementations involving ETL pipelines , data warehouses , analytics platforms , and distributed data systems . Identify bugs, edge cases, scalability issues, and failure modes in model outputs. Compare outputs from multiple frontier models and assess their strengths and weaknesses. Apply professional engineering judgment to realistic data engineering scenarios. Qualifications Must-Have 2+ years of professional data engineering experience. Experience building ETL pipelines , data warehouses , analytics platforms , or distributed data systems . Regular use of AI coding agents such as Cursor , Claude Code , Codex , Windsurf , Gemini CLI , or similar tools. Ability to evaluate model-generated data infrastructure and pipeline implementations. Preferred Experience operating large-scale data platforms . Compensation & Legal $400 per accepted task . Compensation is tied to accepted work. Application Process (Takes 20?30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Description: Leads the automation, configuration, deployment, monitoring, and operational enablement of enterprise platform environments and services in Microsoft Azure. The role establishes and maintains CI/CD pipelines, infrastructure as code, environment configuration, release automation, observability, security controls, secrets management, and operational tooling needed to support reliable delivery across development, testing, staging, and production. Working with developers, architects, testers, cybersecurity specialists, and operational teams, the Senior DevOps Engineer improves deployment consistency, reduces manual effort, strengthens traceability, and supports secure and repeatable releases. The role also applies senior software-development experience to develop new tools, scripts, utilities, and platform services, and to assist developers with troubleshooting application, build, integration, pipeline, and deployment issues. The role monitors platform health, supports incident response and recovery, and develops runbooks and knowledge-transfer materials that improve the scalability, resilience, supportability, and long-term sustainability of the enterprise platform. Experience: Experience designing and operating DevOps practices for large cloud-based enterprise applications. Experience with Microsoft Azure infrastructure, platform services, networking, identity, security, and monitoring. Experience developing and maintaining CI/CD pipelines for application, integration, infrastructure, and database changes. Experience with infrastructure as code, configuration management, containerization, and deployment automation. Experience supporting microservices, APIs, distributed applications, and multiple delivery environments. Experience developing software, scripts, utilities, APIs, or internal tools using one or more modern programming languages. Experience applying software-development practices such as source control, code review, unit testing, debugging, refactoring, and technical documentation. Experience assisting developers with troubleshooting application code, dependencies, builds, automated tests, integrations, pipelines, and deployments. Experience implementing logging, monitoring, alerting, dashboards, tracing, and operational health checks. Experience managing secrets, certificates, environment configuration, access controls, and secure deployment practices. Experience supporting release management, environment readiness, rollback, disaster recovery, and production stabilization. Experience troubleshooting complex application, deployment, infrastructure, performance, availability, and integration issues. <li class="align-justify" style="text-align:justif

49 Solutions is seeking an experienced OpenStack Cloud Engineer to support an opportunity with Shared Services Canada (SSC) . The successful resource will provide technical and architectural expertise related to the deployment and implementation of OpenStack solutions. We are looking for someone with strong hands-on OpenStack experience who is comfortable supporting large-scale environments, resolving technical challenges, and providing guidance throughout solution deployment. Requirements All Applicants will need to verify the following experience: Large-scale OpenStack deployment, including hands-on experience deploying OpenStack within a large environment. OpenStack solution deployment and implementation, with the ability to support the team in deploying and building functionality within the environment. OpenStack operations and support, including experience performing regular technical tasks within complex OpenStack environments. End-to-end OpenStack troubleshooting, with the ability to identify and resolve technical issues across the OpenStack technology stack. OpenStack scheduling troubleshooting, including an understanding of the scheduling flow and experience troubleshooting NoValidHost failures. OpenStack architecture and technical guidance, with experience providing guidance related to: Multi-tenant OpenStack architecture Network segmentation Provider-network design Role-Based Access Control (RBAC) Tenant isolation Workload connectivity Operational procedures OpenStack networking, including experience with networking configurations and connectivity within an OpenStack environment. Hardware bootstrapping, including experience with the hardware bootstrapping process and resolving associated challenges. OpenStack storage concepts and services, with knowledge or experience related to Ceph, Swift, Glance, and Cinder. Ideal Experience We are particularly interested in professionals with experience in: OpenStack cloud environments. Large-scale OpenStack deployments. OpenStack architecture and solution design. Deployment, configuration, and implementation of OpenStack solutions. Troubleshooting and resolving complex OpenStack technical issues. Providing technical or architectural guidance to project and technical teams. Enterprise-scale cloud or infrastructure environments. If you are interested in this opportunity, please send your updated CV along with a brief summary highlighting your OpenStack experience , particularly any experience with large-scale deployments, architecture, and troubleshooting . Benefits Use of Artificial Intelligence (AI tools): 49 Solutions has adopted the use of AI tools only in a manner consistent with applicable privacy laws and policies. 49 Solutions may use AI tools only where the tool operates within its approved, secure enterprise environment and will only be used for purposes related to Company business. Personal contact information (address, email address and phone numbers) will be removed before uploading into the enterprise AI environment. Personal Information shall not be entered into public or consumer AI systems and shall comply with all applicable privacy laws and policies, including The Personal Information Protection and Electronic Documents Act (PIPEDA). Information that is entered into our approved enterprise AI environment is not used to train public AI models or the underlying foundational large language models (LLMs). Information is not retained indefinitely and is subject to organizational and AI retention and deletion policies. By submitting a resume, pro

About Us: Based in San Francisco, California, Turing is the world?s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions ? though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections ? with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code ? primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: Several years of software engineering experience (3 years or more). Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week. Type: Contractor (no medical/paid leave). Duration: 1 month (potential extensions based on performance and fit). Location: Candidates must be based in the United States. Evaluation Process: The application process takes 15?30 minutes. Completion of a

About Us: Based in San Francisco, California, Turing is the world?s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions ? though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections ? with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code ? primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: Several years of software engineering experience (3 years or more). Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week. Type: Contractor (no medical/paid leave). Duration: 1 month (potential extensions based on performance and fit). Location: Candidates must be based in the United States. Evaluation Process: The application process takes 15?30 minutes. Completion of a

About Us: Based in San Francisco, California, Turing is the world?s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions ? though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections ? with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Work on AI model training initiatives by curating code examples, building solutions, and correcting code ? primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go. Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: Several years of software engineering experience (3 years or more). Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week. Type: Contractor (no medical/paid leave). Duration: 1 month (potential extensions based on performance and fit). Location: Candidates must be based in the United States. Evaluation Process: The application process takes 15?30 minutes. Completion of a

About Us: Based in San Francisco, California, Turing is the world?s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go. Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: 3+ years of software engineering experience. Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: Commitment : flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required). Type : Contractor (no medical/paid leave). Duration : 1 month (starting next week; potential extensions based on performance and fit). Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany). Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. About Turing: Based in San Francisco, California, Turing is the world?s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers

About Us: Based in San Francisco, California, Turing is the world?s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go. Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: 3+ years of software engineering experience. Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: Commitment : flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required). Type : Contractor (no medical/paid leave). Duration : 1 month (starting next week; potential extensions based on performance and fit). Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany). Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. About Turing: Based in San Francisco, California, Turing is the world?s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers

About Us: Based in San Francisco, California, Turing is the world?s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go. Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: 3+ years of software engineering experience. Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: Commitment : flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required). Type : Contractor (no medical/paid leave). Duration : 1 month (starting next week; potential extensions based on performance and fit). Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany). Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. About Turing: Based in San Francisco, California, Turing is the world?s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers

Job Description Description: Designs, develops, integrates, tests, deploys, and maintains enterprise platform capabilities across the user-interface, service, API, workflow, integration, and data-access layers. The role builds reusable platform services that can support multiple government programs, while also implementing the service-specific connections required to onboard registries, permitting, forms, payments, notifications, documents, identity, and other business-facing functions. Working with architects, product managers, analysts, UX designers, QA specialists, DevOps engineers, security and privacy teams, and ministry partners, the Senior Software Developer ? Full Stack converts approved designs and requirements into secure, scalable, observable, and maintainable software. The role provides technical leadership through design input, estimation, code review, automated testing, troubleshooting, documentation, mentoring, and production support, helping ensure the platform remains stable while evolving through frequent releases and new integrations. Experience: Ten or more years of experience designing and developing large-scale, multi-client web applications, or an equivalent depth of senior development experience. Extensive hands-on Java development experience with Oracle, SQL, or comparable relational database technologies. Significant experience designing and developing REST APIs and RESTful web services. Experience translating technical system specifications into working, tested applications, including detailed programming specifications, code development, compilation, debugging, documentation, maintenance, and unit testing. Knowledge and experience with microservice architecture and applying core architecture principles to improve extensibility and maintainability. Experience with object-oriented coding practices, current design patterns, refactoring, clean code, and structured development methodologies. Experience developing Internet-ready applications and using rapid application development or Agile delivery approaches. Experience with relational and hierarchical database technologies, query languages, SQL tuning, and data-access components. Experience with security gateways and protocols such as JSON Web Tokens, OAuth 2.0, and SSL certificates. Experience with middleware, gateways, communications protocols, enterprise integrations, and data migration or conversion activities. Experience using Azure DevOps or comparable tools for work management, source control, build, testing, and deployment pipelines. Experience conducting design walkthroughs, code reviews, impact assessments, and technical troubleshooting. Experi