Review coding tasks derived from real GitHub issues and pull requests to assess technical soundness and reproducibility.
Evaluate unit tests for correctness, coverage, and robustness, identifying flaky tests or missing dependencies.
Provide clear recommendations on whether tasks should be accepted, improved, or excluded.
Anyone AI is a company that focuses on AI-related projects, particularly in evaluating software engineering tasks. They are a smaller organization with a culture that values technical expertise and attention to detail.
Assess software engineering tasks for technical accuracy, realism, and reproducibility.
Provide actionable feedback on codebase integration issues and logic errors.
Ensure AI training workflows are rigorous and practically applicable.
Project World Wide sources experienced technical specialists for AI training task auditing. This freelance contract opportunity focuses on ensuring technical rigor and accuracy in AI workflows.
Design and develop end-to-end applications using TypeScript, Node.js, NestJS, Express, and React.
Build and evolve distributed platform architecture with microservices, messaging, and AI capabilities using Python.
Collaborate in an agile environment, participate in code reviews, and share knowledge to improve engineering standards.
The company is building an AI-powered platform for marketing operations. It values clean code, technical ownership, collaboration, and continuous knowledge sharing, and operates as a fully remote team.
Develop and maintain automated creative-production workflows using JavaScript/Node.js and low-code platforms.
Build systems to analyze competitors' creatives and identify high-performing content.
Implement AI-powered tools to enable non-technical teams to automate marketing decisions.
FitMe is a fast-growing fitness product that streamlines creative production, user acquisition, and campaign management. The company offers a flexible, remote-first working environment with opportunities for professional growth.
Build and ship customer-facing products across web, desktop, and mobile.
Design, develop, and maintain backend services, APIs, and cloud infrastructure.
Take ownership of high-leverage problems and collaborate across a small engineering team.
This company operates an ambitious AI research and product environment spanning web, desktop, mobile, backend, and AI systems. It is a small, collaborative engineering team that values autonomy, technical excellence, and low-ego collaboration.
Build and maintain features across AI-centric web applications, turning designs into working UI and wiring up API integrations.
Debug and resolve technical issues, write unit and integration tests, and follow security best practices.
Collaborate with senior engineers through code reviews and stand-ups, using AI tools to enhance productivity.
Power Digital is an AI-native growth firm that helps leading and emerging brands grow through technology and strategic thinking. The company values diversity and has a people-first culture built on curiosity, ambition, and accountability.
Collaborate with engineers and clients to capture technical requirements, decisions, and tradeoffs.
Track project plans, risks, dependencies, and deliverables across AI infrastructure, data, and security.
Build trusted relationships with client stakeholders and ensure alignment with business objectives.
OpenTeams helps enterprises and governments build AI they control, govern, and evolve themselves. Founded by the creator of NumPy and SciPy, the company is built by people with deep roots in the open-source ecosystem, with a culture of ownership and collaboration.
Develop, test, and implement software solutions in Python and Java.
Collaborate with cross-functional teams to define, design, and deliver new features and products.
Maintain and improve application performance, fix bugs, and participate in code reviews.
CI&T helps large enterprises transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated solutions. With 8,000 employees across 25 countries, they have 30 years of experience and partner with over 1,000 clients.
Work directly with client teams to understand complex workflows and identify opportunities for AI automation.
Build, deploy, and maintain production solutions integrating with TMS, WMS, and ERP platforms.
Tune AI agents and automated workflows using production data to continuously improve performance.
The company specializes in AI-driven automation and enterprise integrations for logistics and supply chain operations. It is a growth-stage, fast-moving environment that values speed, pragmatism, and ownership.
Build and ship a project end to end: understand the problem, build a working version, and improve it based on user feedback.
Work with business teams to understand their workflows and translate requirements into actionable solutions.
Use AI-augmented development tools as your default workflow and develop judgment about their effectiveness.
M3 is a global healthcare technology company providing innovative research and technological solutions to the healthcare industry. The M3 Group operates in the US, Asia, and Europe with over 5.8 million physician members and is publicly traded on the Tokyo Stock Exchange, ranked in Forbes' Global 2000 list.
Design and engineer challenging benchmark tasks for evaluating coding agents in multilingual terminal environments.
Create authentic task environments using native language assets and identify model failure points.
Participate in rigorous quality assurance processes including calibration and audit of benchmark tasks.
The hiring company specializes in AI evaluation and multilingual language technology. They are a global team of engineers and linguists working on cutting-edge AI systems.
Design and implement full-stack product features across backend services and frontend interfaces, ensuring strong performance, reliability, security, and maintainability.
Take ownership of features from requirements through deployment and production support, using AI coding assistants to accelerate development.
Collaborate closely with product managers and engineers in an agile, feedback-driven environment focused on continuous improvement.
The company builds a modern data intelligence platform that enables organizations to discover, govern, and trust their data. They are a remote-first team with an agile, collaborative culture focused on continuous improvement and innovation.
Participate in customer and sales meetings to explain technical capabilities and develop proof-of-concept solutions.
Troubleshoot and resolve complex customer issues through code analysis, scripting, and log analysis.
Collaborate with internal teams across engineering, sales, and product to improve platform and customer experience.
The company specializes in AI infrastructure and cloud environments, helping customers adopt and scale AI workloads. It is a remote-first, collaborative organization with a fast-growing team that values ownership and quick execution.
Design and develop full-stack features using React, TypeScript, and backend languages like Java or Node.js.
Drive architectural decisions, backlog grooming, and technical leadership while leveraging AI coding assistants.
Write automated tests, conduct code reviews, and deploy features in production using GitLab, AWS, and Kubernetes.
CoderPad is the global leader in the technical interview space, serving over 4,000 customers in 165+ countries. The company has a remote-first, distributed culture with teams in EMEA and US, focusing on building and scaling products for technical interviews.
Evaluate AI model responses on software engineering tasks using TypeScript.
Challenge AI systems across algorithms, data structures, and development practices.
Provide structured feedback to improve model reasoning and code quality.
You'll work on a cutting-edge AI training project where your TypeScript expertise directly improves advanced language models. The project is a flexible freelance opportunity with a focus on software engineering and coding challenges, though the size and culture of the hiring company are not specified.
Evaluate developer workflow tasks for technical accuracy, realism, solvability, reproducibility, and alignment with reliable testing and evaluation criteria.
Audit AI-assisted development scenarios to identify technical inconsistencies, logic errors, workflow inefficiencies, or issues affecting task quality.
Provide clear, detailed, and actionable feedback that enables improvements to AI training and evaluation tasks.
Design and build rigorous, verifiable Terminal-Bench tasks that test multilingual robustness in LLMs across prompt language effects and encoding edge cases.
Create realistic task environments with datasets and files in your native language, ensuring assets remain in the target language to genuinely measure multilingual handling.
Calibrate task difficulty by analyzing execution logs and participate in a 4-layer human quality control process to ensure benchmark integrity.
LILT is an AI and language technology company whose mission is to make the world's information available to everyone, regardless of language. They operate with a global community of linguists, engineers, and subject matter experts, fostering a culture of innovation and excellence.
Developing backend tasks in .NET, maintaining APIs, and assisting with system integrations.
Writing clean, testable code and creating unit tests with mentor support.
Utilizing AI tools consciously for code generation, refactoring, debugging, and technical research.
Software Mind develops solutions that make an impact for companies around the globe, working with tech giants and unicorns. The culture embraces openness, acts with respect, shows grit and guts, and combines employment with enjoyment.
Own product features end to end from ambiguous requirements through deployment and monitoring.
Collaborate with product owners and domain experts to build reliable, maintainable full-stack solutions.
Leverage AI-assisted coding, code review, and QA tools to increase development velocity and quality.
The company builds production-grade web software for regulated domains such as fintech. It operates with small, collaborative engineering pods that emphasize ownership, autonomy, and AI-assisted development.