Train AI models on Python coding tasks including algorithms, data structures, and distributed systems.
Verify logical accuracy, code quality, and capture error traces to improve model reasoning.
Collaborate remotely by conversing with the model and suggesting improvements to prompt engineering and evaluation metrics.
The company is working on training large-scale language models to power scientific discovery, education, and software development. They are a tech-focused organization seeking freelance contractors, with no information on size or culture provided.
Design and develop coding benchmarks used to evaluate frontier AI models.
Analyze AI-generated code for correctness, reliability, efficiency, and edge cases.
Build and maintain scalable data pipelines that support AI evaluation workflows.
An enterprise client is a leading AI platform that enables organizations to build intelligent applications through high-quality human feedback, AI evaluation, and model alignment. The selected consultants will work on improving frontier AI models, though company size and culture details are not specified.
Collaborate with advanced language models on software engineering tasks in Spanish (Latin America), documenting failure modes to improve model reasoning.
Verify logical accuracy, coding fluency, and naturalness of Spanish language usage in model outputs.
Capture reproducible error traces and suggest improvements to prompt engineering and evaluation metrics.
The company is working on large-scale language models for scientific discovery and software development, aiming to democratize education and streamline engineering. The project is freelance-based and seeks coding specialists fluent in Spanish (Latin America) to train AI, with no specified company size or culture.
Own product initiatives end-to-end, from discovery to delivery, combining engineering expertise with product judgment.
Translate ambiguous business goals into clear workflows, technical plans, and polished user experiences.
Use AI-assisted development tools to accelerate coding, debugging, refactoring, and testing.
Jobgether is an AI-powered job matching platform that connects candidates with companies. They use technology to review applications and share top candidates with hiring teams, fostering an inclusive, collaborative environment.
Evaluate the model's ability to respond to coding requests and code base-related questions using available tools.
Assess agent trajectories and model capabilities for code generation and debugging requests.
Prompt models to complete complex coding tasks and review the accuracy of generated responses.
Cohere is a security-first enterprise AI company building cutting-edge foundation models and end-to-end products. We are a global team of researchers, engineers, and designers with offices in Toronto, San Francisco, and other key cities.
Design and implement multi-file coding tasks across bug fixing, feature development, refactoring, and testing.
Write clear natural-language specifications and reference implementations, and develop unit and integration test suites.
Review peer-generated tasks for correctness, clarity, and realism, providing structured feedback.
Anyone AI is a company that recruits skilled Python Developers for projects with leading AI labs. It operates with a project-based consultant model, offering flexible, part-time work.
Design and execute AI-native software development experiments to measurably improve productivity, quality, and speed.
Evaluate emerging AI engineering tools and institutionalize development, testing, and delivery standards.
Coach engineers and leaders across the organization to adopt AI-assisted workflows and drive transformation.
Sparkrock helps social benefit organizations—such as nonprofits, school boards, and government agencies—operate more effectively. They are a global, fully remote organization dedicated to mission-driven enterprise software.
Develop high-quality training data for AI models using C#.
Challenge advanced language models on software engineering tasks and document failure modes.
Verify logical accuracy, assess code quality, and suggest improvements to evaluation metrics.
The company focuses on training large-scale language models to advance AI capabilities, aiming to democratize education and streamline software development. It operates with a global network of freelance coding specialists, emphasizing remote work and rigorous quality evaluation.
Join client engineering teams as an embedded software engineer to deliver production-quality software alongside client developers.
Use AI-assisted development tools to accelerate software delivery while maintaining engineering quality and building custom AI agents.
Identify opportunities to automate repetitive engineering work and improve development efficiency through practical AI-enabled practices.
SPACE44 deploys PIPE44, an AI operations platform, to help organizations embed AI into their operations, building and continuously improving AI capability within client businesses. They operate as a remote team that values ownership, collaboration, and long-term client impact.
Build and maintain internal engineering tooling that improves builder flow and reduces friction across the company.
Support adoption of AI agentic coding tools through documentation, automation, and guidance.
Contribute to measurement and feedback loops to quantify impact and guide iteration.
Temporal is an open source programming model that simplifies code, makes applications more reliable, and helps developers deliver features faster. The company is growing and values curiosity, drive, collaboration, genuineness, and humility.
Design self-contained software-engineering problems for AI agents to solve.
Build and configure development environments using Docker, and write automated tests.
Create accurate reference solutions for complex coding challenges.
Terac is building the world's largest pool of vetted human experts for AI. It is a growing platform that connects AI researchers and labs with skilled professionals across industries.
Partner directly with customers to translate challenges into scalable AI solutions and lead technical discovery.
Design, build, and deploy AI applications using LLMs, cloud-native architectures, and CI/CD pipelines.
Mentor engineers and guide technical workstreams across multiple client engagements with strong ownership.
Jobgether is an AI-powered job matching platform connecting candidates with hiring companies. They use automated processes to evaluate applications and share shortlists with employers, emphasizing efficient, fair recruitment.
Participate in sales meetings, provide architectural recommendations, and build proof-of-concept solutions for onboarding high-spending customers.
Troubleshoot and resolve complex technical issues using code analysis, scripting, and log analysis.
Create and maintain technical documentation and deliver training sessions, webinars, and demos.
Runpod is the AI Developer Cloud, providing a platform for over one million developers to experiment, train, fine-tune, deploy, and scale AI. We are a small, remote-first team that takes ownership seriously, moves fast, and ships work relied on by more than a million developers daily.
Build agentic applications that solve real customer use cases using our platform capabilities.
Design agentic workflows, plugins, and tool integrations that deliver measurable customer value.
Translate ambiguous problems into intuitive AI experiences and rapidly iterate into production-ready solutions.
Legion builds secure, reliable AI systems for government and enterprise, born from a Department of Defense partnership. Trusted by leaders like Palantir, Nvidia, HPE, and Oracle, the company focuses on embedding intelligence into complex systems to optimize workflows.
Design, develop, and maintain production-grade code across frontend, backend, and data layers for clinical and regulatory requirements.
Deploy and operate services in a cloud environment (AWS preferred) and contribute to architecture reviews.
Debug and resolve production issues across distributed systems, diagnose performance bottlenecks, and own incident response.
Praxis Precision Medicines is a clinical-stage biopharmaceutical company translating genetic insights into therapies for central nervous system disorders characterized by neuronal imbalance. They emphasize core values of Trust, Ownership, Curiosity, and Results, fostering a diverse and inclusive culture.
Implement and maintain AI benchmarks using evaluation infrastructure like the Inspect library.
Contribute to the design and development of new benchmarks for frontier AI models.
Collaborate with researchers and engineers to ensure accurate and insightful evaluation data.
Epoch AI is a research institute investigating trends in machine learning and the economic consequences of AI. With a small, mission-driven team, we aim to provide rigorous, independent insights into AI development.
Design and scale systems to drive provider growth, from acquisition to retention.
Lead technical projects from concept to delivery, navigating trade-offs.
Mentor engineers and foster a high-performing engineering culture through code reviews.
Rula is a mental health company dedicated to treating the whole person with evidence-based and compassionate care. It is a remote-first company with most employees in the U.S., emphasizing diversity, equity, and inclusion.
Design and develop new features for the iPaaS and APIM platform using a modern tech stack including C++, Java, and Lua.
Take ownership of projects from design through deployment, ensuring scalability, reliability, and performance in a 24x7x365 environment.
Collaborate with engineers, product managers, and operations to push the boundaries of enterprise integration.
Jitterbit automates and orchestrates business systems to empower teams, unlock value, and accelerate business transformation. It provides a unified AI-infused low-code platform for integration, orchestration, automation, and app development, serving organizations globally with a remote-first, collaborative, and mission-driven culture.
Design and develop 3D simulation environments and interactive systems using Panda3D.
Build, maintain, and optimize high-quality Python and C++ codebases for simulation and game logic.
Collaborate with AI engineers and software teams to translate requirements into scalable technical solutions.
Our partner develops advanced 3D simulation environments for AI training applications. The company culture emphasizes collaboration with engineers and researchers in a highly technical domain.
Design and deliver end-to-end AI-powered product features across backend and frontend.
Rapidly prototype AI agent use cases and validate new product ideas through iterative development.
Collaborate with product managers and engineers to translate ideas into scalable, production-ready solutions.
Our partner is a fast-growing engineering team building next-generation AI-powered workflow solutions that simplify automation at scale. They offer a remote-first, highly collaborative environment with significant ownership and autonomy.