Software Engineer, Go - Codebase Q&A
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Weekday AI
US
Summary
Engineers will build complex codebase-exploration tasks for AI agents by analyzing production Go repositories and defining reasoning challenges. You will iterate on tasks through a validation loop, ensuring rubrics and solutions effectively test AI reasoning capabilities.
Job Description
This role is for one of our clients
Compensation: $130 per task
We are 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 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 our Studio.
Key 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
Ideal Qualifications
- 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
Working Details
- Fully remote and asynchronous, with expert team leads across US, India, and Nigeria time zones
- Work is performed in our 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
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
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
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Founded
2022
Company size
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Industry
Technology, Information and Internet
Org type
Privately Held
Finding a great startup job should not feel like a second job.
Weekday AI brings the most exciting roles from premium YC and VC-backed startups into one place. Our team hand-picks every listing, so you skip the agency spam and the dead links and go straight to companies building things that matter.
Why people use Weekday AI?
Curated roles from premium YC and VC-backed startups
Fresh jobs every week, picked by humans
AI that helps you apply in minutes
Free to join
Your next role should come from a company you are proud to work at. We help you find it.
Browse live roles at jobs.weekday.works
Founded
2022
Company size
11-50 employees
Industry
Technology, Information and Internet
Org type
Privately Held