Software Engineer, Go — Codebase Q&A
Mercor is seeking experienced Go engineers to build the dataset that teaches AI agents to reason about real codebases.
Hiring companyMercor
About the role
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 Go 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 infrastructure-grade Go codebases including etcd, Traefik, Helm, Kustomize, CoreDNS, NATS Server, Temporal, Syncthing, restic, Authelia, BadgerDB, quic-go, gRPC-Go, Hugo, rclone, Trivy, cert-manager and Pion WebRTC.
Contract, task-based work paid at $130 per approved task, performed remotely in Mercor Studio.
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.
Responsibilities
- Select tasks from a pre-validated pool of Go 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.
Preferred skills
- 3+ years of professional software engineering experience, with substantial production Go.
- Demonstrated ability to navigate a large, unfamiliar Go codebase and explain how it behaves at runtime — not just what the source says.
- Fluency in Go concurrency, interfaces, module boundaries, and the standard library; comfort reading generated code and build tooling.
- Experience with distributed systems, networking, storage engines, or Kubernetes-ecosystem tooling is highly relevant — the task mix is weighted toward architecture and system design (42%), code onboarding (26%) and root-cause analysis (20%).
- Precise written English: the questions and rubrics you write are the product.
- Comfortable with git at commit level, containerized environments, and command-line tooling.
Eligibility
Work arrangement: Fully remote
Compensation details
$130 per task.
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