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.
Design advanced chemistry problems that test deep scientific reasoning, quantitative analysis, and computational expertise.
Develop deterministic tasks with verifiable correct answers, complete with validated solutions and clear technical explanations.
Apply Python programming and specialized chemistry software to ensure rigorous, reproducible, and scientifically accurate content.
Our partner is a company specializing in next-generation AI systems, leveraging advanced STEM training data to push the boundaries of artificial intelligence. They operate with a network of experts in a fully remote, flexible environment, and are focused on innovative projects at the intersection of chemistry, computation, and AI.
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.
Collaborate with advanced AI models on real-world STEM problems to document failure modes and harden reasoning.
Verify factual accuracy and logical soundness of model responses in mathematics, physics, chemistry, and engineering.
Suggest improvements to prompt engineering and evaluation metrics based on reproducible error traces.
This company is building the next generation of AI by training large language models to become powerful engines of scientific discovery and technical problem-solving. They are seeking STEM specialists to provide high-quality training data, and operate as a contractor-based platform.
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.
Own the design and defense of frontier model evaluations across reasoning, coding, agents, tool use, and multi-modal.
Build benchmark packages with expert-verified ground truth, multi-model headroom results, and rigorous QC.
Recruit, calibrate, and review a pool of subject-matter experts in coding, agentic/tool-use, and STEM/reasoning.
Anyone AI measures frontier model capability through expert-verified evaluation packages. The company operates as a remote team with a focus on rigorous benchmarking and lab collaboration.
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.
Own algorithmic features end-to-end across the next generation of Keen's AI Cortex, from design to production.
Pitch in on adjacent Python backend projects (Django, FastAPI, AWS) when work spans multiple services.
Collaborate across Product, Research, and Engineering, writing design docs and making tradeoff decisions.
Keen Decision Systems provides an AI-driven marketing platform that empowers marketing leaders and finance teams to make data-driven, future-focused business decisions. As an Inc. 5000 Fastest-Growing Private Company and a Triangle Business Journal Top 10 Best Place to Work, we promote a Conscious Culture with a 4-day work week.
Develop geometry processing and simulation algorithms for engineering applications.
Build services for reading, processing, and writing 2D/3D engineering data.
Curate large-scale datasets and optimize post-training workflows for machine learning models.
Foundation EGI is an MIT-born, venture-backed Silicon Valley startup building an AI Copilot for design and manufacturing. The company is small and rapidly growing, with a culture focused on applying advanced AI to real engineering problems.
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.
Design and develop software engineering challenges and reference solutions for AI training.
Apply strong programming skills across languages including Python, Java, Rust, Go, C++, and TypeScript.
Collaborate in a fully remote environment to improve AI reasoning and coding capabilities.
This organization focuses on advancing AI technologies by training next-generation AI systems through expert software engineering contributions. It operates as a remote-first team dedicated to improving AI reasoning and coding capabilities in a flexible, collaborative environment.
Design, build, and deploy AI-powered solutions connecting Remote’s platform to customer systems and workflows.
Work at the frontier of practical AI, shipping reliable, observable, and secure systems in production.
Own customer outcomes from discovery through production rollout with high autonomy and direct influence on product roadmap.
Remote is a global HR platform that helps businesses recruit, pay, and manage international teams compliantly. The company fosters a future-focused, async culture with team members across 6 continents and emphasizes innovation, automation, and AI.
Apply deep financial expertise to develop and evaluate AI systems for financial reasoning.
Create, review, and refine finance-related prompts and analytical tasks for AI training.
Assess AI-generated outputs for accuracy, logic, and relevance in quantitative finance and risk modeling.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It operates as a partner for contract-based roles, focusing on innovative finance and technology projects.
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.
Support the development, adoption, and scientific positioning of advanced ADMET prediction software by bridging user needs, scientific insight, and product innovation.
Present and demonstrate ADMET prediction software to scientific and customer audiences, deliver training sessions, and respond to customer inquiries.
Translate scientific and user feedback into clear product requirements and feature specifications, and contribute to scientific communication through publications and case studies.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They process applications using their matching system and share top-fitting candidates with employers.
Conduct groundbreaking research in generative audio using diffusion or flow matching models, focusing on vocal synthesis, post-training, or editing.
Run large-scale experiments with access to Spotify’s extensive infrastructure and audience.
Collaborate with cross-functional teams to craft innovative solutions and publish findings at top conferences.
Spotify is a global music streaming platform with over 700 million monthly active users. We are an equal opportunity employer committed to inclusivity and innovation.
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.
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.
Design, train, evaluate, and ship 3D reconstruction systems including gaussian splats, foundation models, SfM, MVS, monocular depth, and mesh reconstruction.
Drive integration of modern reality capture approaches into the production stack, making decisions on what is ready to ship.
Own the hardest technical investigations from triage through production rollout and long-tail support.
DroneDeploy powers field teams with robotics and AI, providing a reality capture platform for critical industries like construction, energy, and agriculture. The company fosters a remote-first culture recognized as a Best Place to Work, with a bold, mission-driven team focused on innovation and impact.
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.