Software • lee's summit mo
Role Overview** Mercor is seeking experienced **Python engineers** to build the dataset that teaches AI agents to reason about real codebases.Codebase Q&A is a reinforcement-learning environment fo... Show more
We're seeking experienced Software Engineers, QA Engineers, SDETs, and Test Automation Engineers to review browser-based evaluation workflows for AI-generated web applications.You'll validate wheth... Show more
AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
Role Overview** Mercor is seeking experienced **C engineers** to build the dataset that teaches AI agents to reason about real codebases.Codebase Q&A is a reinforcement-learning environment for tra... Show more
We're seeking experienced Software Engineers, QA Engineers, SDETs, and Test Automation Engineers to review browser-based evaluation workflows for AI-generated web applications.You'll validate wheth... Show more
About the role We are hiring expert Evaluators in **Software / AI / IT / data** to review and assess AI-generated work products (documents, spreadsheets, and slide decks) for accuracy, rigor, and d... Show more
Role Overview** Mercor is seeking experienced **TypeScript engineers** to build the dataset that teaches AI agents to reason about real codebases.Codebase Q&A is a reinforcement-learning environmen... Show more
AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
Role Overview** Mercor is seeking experienced **Python engineers** to build the dataset that teaches AI agents to reason about real codebases.Codebase Q&A is a reinforcement-learning environment fo... Show more
AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
About the role We are hiring expert Evaluators in **Software / AI / IT / data** to review and assess AI-generated work products (documents, spreadsheets, and slide decks) for accuracy, rigor, and d... Show more
Role Overview** Mercor is seeking experienced **TypeScript engineers** to build the dataset that teaches AI agents to reason about real codebases.Codebase Q&A is a reinforcement-learning environmen... Show more
We're looking for engineers who have shipped production search systems (especially agentic ones now that we're in the era of LLMs and agents) and are thinking hard about the requirements and optimi... Show more
Role Overview** Mercor is seeking experienced **Go engineers** to build the dataset that teaches AI agents to reason about real codebases.Codebase Q&A is a reinforcement-learning environment for tr... Show more
Role Overview** Mercor is seeking experienced **C engineers** to build the dataset that teaches AI agents to reason about real codebases.Codebase Q&A is a reinforcement-learning environment for tra... Show more
Role Overview** Mercor is seeking experienced **Go engineers** to build the dataset that teaches AI agents to reason about real codebases.Codebase Q&A is a reinforcement-learning environment for tr... Show more
Mechanical Estimator – Estimator II Location: Lee’s Summit, MO Division: Enerfab Power & Industrial Direct Report: Estimating Manager Salary Range: $100,000 to $130,000 Company Summ... Show more
AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
We're looking for engineers who have shipped production search systems (especially agentic ones now that we're in the era of LLMs and agents) and are thinking hard about the requirements and optimi... Show more
## **1\. Role Overview** Mercor is seeking experienced **Python engineers** to build the dataset that teaches AI agents to reason about real codebases. Codebase Q&A is a reinforcement-learning environment for training AI agents to explore and reason about software repositories they have never seen before. You will build difficult codebase-exploration tasks: high-level engineering questions about production Python repositories that cannot be answered by reading a single file, and that require runtime evidence to resolve — the kind of question a senior engineer answers by actually investigating the system. This track works on widely deployed Python codebases including **Django, Twisted, Scrapy, SymPy, mypy, pip, coverage.py, mitmproxy, Certbot, Tornado, Werkzeug, sqlfluff and Meson**. Contract, task-based work paid at **$130 per approved task**, performed remotely in Mercor Studio. ## **2\. Key Responsibilities** - Select tasks from a pre-validated pool of Python repositories, each pinned to a specific git commit and arriving with an engineering question, positive and negative rubrics, foils, and a golden solution - Explore the repository until you genuinely understand the subsystem in question, including the relevant PR or issue history - Rewrite the task's question so it defeats frontier coding agents while remaining well-defined and fairly answerable - Adjust rubrics and foils so they reward correct reasoning and reject plausible-but-wrong answers - Run the full validation loop in Studio — Check, Golden, Run, Analyze — and iterate until every stage passes - Document your work in the task README and submit for expert review, addressing reviewer feedback on returned tasks ## **3\. Ideal Qualifications** - 3+ years of professional software engineering experience, with substantial production Python - Demonstrated ability to navigate a large, unfamiliar Python codebase and explain how it behaves at runtime — not just what the source says - Fluency in Python internals that matter in real systems: import machinery, descriptors and metaclasses, async and event loops, packaging, and C-extension boundaries - Experience with web frameworks, developer tooling, type checkers, or scientific/numeric libraries is highly relevant — the task mix is weighted toward architecture and system design (41%) and code onboarding (31%) - Precise written English: the questions and rubrics you write are the product - Comfortable with git at commit level, containerized environments, and command-line tooling ## **4\. Working Details** - Fully remote and asynchronous, with expert team leads across US, India, and Nigeria time zones - Work is performed in Mercor Studio; time is tracked with Insightful, and platform access is provisioned through Okta - Onboarding requires identity verification, a background check, signed Terms of Work and CIIAA, a tax form, and passing a short calibration quiz before task access is granted - Payment is per approved task; every task is reviewed by a second engineer and a super reviewer before acceptance ## **5\. Application Process** - Submit your resume or relevant technical background to get started - Qualified applicants may be asked to complete a brief technical assessment or provide additional information
