Evaluate AI-generated code for correctness, efficiency, maintainability, and overall software quality.
Develop challenging programming problems, reference solutions, and comprehensive test cases.
Provide clear, detailed written technical feedback to support continuous AI model improvement.
Our client is a leading organization in the artificial intelligence industry, collaborating with top technology companies and AI research teams to advance next-generation AI systems. The company offers a remote, contract-based culture focused on evaluating AI-generated code and improving AI model performance alongside highly skilled technical professionals.
Curate high-quality code examples and datasets for LLM training and evaluation.
Develop and assess AI-generated software across multiple programming languages and the full SDLC.
Collaborate with research teams to design verification mechanisms and improve coding benchmarks.
This partner company specializes in evaluating large language models and improving AI systems through rigorous engineering benchmarks. It offers a remote, collaborative culture where engineers and researchers advance AI evaluation workflows together.
Evaluate software engineering tasks for technical accuracy, realism, and reproducibility.
Investigate codebases, tests, and integration issues to identify technical weaknesses.
Provide clear, actionable feedback that directly improves AI training and evaluation workflows.
Jobgether is an AI-powered job platform that connects candidates to roles through objective, skill-based matching. It focuses on remote and freelance opportunities, with a data-driven recruitment process and a global candidate pool.
Evaluate AI-generated coding interactions end to end for correctness and engineering judgment.
Assess whether outputs reflect strong engineering taste and provide clear, opinionated feedback.
Help define what great looks like for AI coding tools like Codex, Claude Code, and Cursor.
G2i Inc. is a technology staffing company that connects software engineers with remote contract opportunities. The company values engineering excellence and provides flexible, ongoing projects for senior-level developers.
Design and build automated evaluation pipelines for AI agents.
Develop testing frameworks for reasoning, multi-turn conversations, and adversarial scenarios.
Own the evaluation architecture and integrate observability tools in a fully remote team.
A company building production-grade AI agents and systems. They operate in a fully remote, globally distributed environment with a culture focused on innovation, autonomy, and continuous improvement.
Own product features end-to-end, from problem identification to production.
Work with AI agents to create specs and delegate development tasks.
Critically review AI-generated code to ensure reliability and quality.
Our partner company is seeking a Product Engineer to own features end-to-end in an AI-native environment. They are a remote, international team with an AI-first culture and a focus on using AI agents as primary development partners.
Evaluate AI-generated Java solutions for correctness, efficiency, and maintainability.
Analyze object-oriented design, concurrency, JVM behavior, data structures, algorithms, and architecture.
Document recurring model failure patterns and communicate findings in a structured, actionable way.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It posts roles on behalf of partner employers and emphasizes objective, fair application reviews.
Apply your cybersecurity expertise to train next-generation AI systems with real-world input.
Analyze, debug, and resolve software bugs and vulnerabilities across diverse codebases.
Perform security audits, penetration testing, and contribute to backend development.
Our client is a venture-backed AI company developing intelligent systems via human expertise and machine learning. They are rapidly growing with over $40 million in funding and a global network of experts.
Direct autonomous coding agents across production workstreams, decomposing complex problems and reviewing agent output.
Design and maintain evaluation suites to establish measurable quality standards and own end-to-end software quality.
Operate within security boundaries such as NIST 800-53, WCAG, and SOC 2 while advancing AI-native development practices.
The company is an organization operating within a FedRAMP-authorized environment, focused on AI-native software development and autonomous coding agents. It maintains a remote-first, globally distributed engineering culture with an emphasis on rigorous evaluation, compliance, and engineering quality.
Own product features end-to-end, from problem statement to production.
Write specs with AI agents and critically review their code in complex systems.
Deliver reliable features handling financial transactions and evolve AI-first development.
Social Discovery Group creates social entertainment platforms that connect people online across cultures, addressing loneliness and disconnection. The company's international remote team works from everywhere, and it earned 'Great Place to Work' recognition in 2024-2025.
Direct the agent array on production workstreams by decomposing problems into tasks and integrating agent output into shipped software.
Review agent-generated pull requests at volume and depth, identifying correctness, security, and accessibility defects.
Author evaluation suites that make quality measurable using eval-driven development and own end-to-end quality within a FedRAMP-authorized environment.
Granicus provides cloud-based solutions for government communications, website design, meeting management, and records management, serving over 5,500 agencies and 300 million citizens. With a globally distributed team and a culture of transparency and inclusion, Granicus has been recognized on the GovTech 100 list for the past 5 years.
Participate in a remote video interview about your experience with AI coding tools.
Discuss how tools like GitHub Copilot and Cursor fit into your development workflow.
Share feedback on the strengths and limitations of AI-assisted coding.
Our partner company is a research organization focused on AI-assisted software development. It is currently seeking feedback from practicing software engineers through paid interviews.
Work directly with operations, finance, clinical, and business teams to identify bottlenecks and design practical AI-driven solutions.
Build automations, dashboards, and lightweight internal applications using Python, SQL, APIs, and low-code tools.
Own projects end-to-end from problem discovery to deployment, delivering measurable business impact.
Urrly is a healthcare technology company that uses AI to improve operational efficiency and accuracy. It emphasizes fairness in hiring, using AI to review applications based solely on job-related factors.
Build evaluations to measure and improve AI reasoning in complex, high-stakes decisions.
Collaborate with engineers, product, and domain experts to turn observed failures into testable improvements.
Own the quality of shipped systems, from code reviews to monitoring and integration.
Elicit builds AI systems that help research and business teams make evidence-based decisions on high-stakes questions. They are a remote-friendly, collaborative team that values rigorous thinking, experimentation, and in-person retreats.
Embed with business and clinical teams to learn workflows and identify where AI can reduce manual work.
Ship production-quality AI tools that turn six-to-eight-hour tasks into under thirty minutes, using telemetry and privacy-by-design.
Drive adoption until teams run the tools independently, then turn learnings into reusable building blocks.
Rula is a mental health care company making mental healthcare work for everyone through evidence-based, compassionate care. It is remote-first, inclusive, and hires across most U.S. states.
Design and build rigorous Terminal-Bench tasks to test LLM capabilities in multilingual software engineering and terminal workflows.
Create realistic task environments with datasets and files in your native language to measure multilingual robustness without English translation crutches.
Support reference solutions, write deterministic verifier scripts, and calibrate task difficulty across varied model tiers.
LILT provides AI-powered multilingual translation and language services for enterprises, governments, and AI developers. It is a global community of linguists and software engineers focused on innovation and human-verified AI solutions.
Implement features that improve MDLinx and drive user impact, with ownership growing over time.
Apply software engineering best practices including automated testing, clean code, and peer review.
Read AI-generated plans and code critically, and identify work for AI-assisted automation.
M3 is a Japanese global leader in healthcare technology and research solutions, operating physician websites with over 5.8 million members. MDLinx, an M3 company, focuses on transforming pharmaceutical brand promotion through omnichannel engagement.
Design, develop, and maintain AI-powered software solutions across the full development lifecycle.
Work with backend stacks like Python, Node.js, .NET, and Java, plus modern frontend frameworks such as React or Angular.
Build and integrate AI agents, RAG pipelines, and LLM-driven products into production environments.
Cresteo is a nearshore tech services company on a mission to be the world leader in people-first and honest software development. Our small, high-trust team values transparency, profit-sharing, and fearless innovation while working with US-based clients and international teams.
Analyze employment law scenarios and evaluate legal issues under U.S. law.
Review AI-generated legal documents for accuracy, completeness, and consistency.
Provide structured, expert feedback to improve AI outputs.
This is a remote contract position with a partner company that uses legal expertise to enhance AI systems' accuracy and reliability. The company offers a flexible, technology-driven environment with a focus on professional development and meticulous legal analysis.
Design and develop new features for the iPaaS and APIM platform using a modern stack including C++, Java, and Lua.
Take ownership of projects from design through deployment, ensuring scalability, reliability, and performance in a 24x7x365 environment.
Work with distributed teams and mentor others while driving data-driven decisions in a remote culture.
Jitterbit automates and orchestrates business systems with a unified AI-infused low-code platform for integration, orchestration, automation, and app development. The company is a growing leader in the iPaaS space with a remote-first, collaborative culture that values curiosity, ownership, and continuous learning.