Senior Software Engineer, LLM Evaluation and Repository Validation
- Remote, United States
- Contract
- Senior
- Posted 9 days ago
or apply from Claude / ChatGPT / Muse
Part-time contract for senior or tech-lead engineers who set up real open-source repositories, pick meaningful issues and test how well language models fix them. Remote.
About the role
Repository validation is the main job: making complex codebases run reliably, triaging issues worth testing, and judging whether model patches actually solve them.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Senior
- Employment
- Contract
- Skills
- Python, JavaScript, Java, Go, Rust, Docker
- Posted
- 20 Oct 2026
- Last checked
- 27 Oct 2026
What you will do
- Triage issues in well-maintained public repositories for evaluation use
- Configure repositories locally and containerise them with Docker
- Run and modify real codebases to test model bug fixes
- Assess unit-test coverage and strengthen weak verification
- Guide junior engineers and help research teams pick tasks
What they look for
- Senior or tech-lead level engineering experience
- Comfort working in unfamiliar, complex codebases
- Practical Git and Docker experience, including dependency fixes
Nice to have
- Contributions to open-source projects
- Prior LLM research or evaluation work
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
- 1Upload your CVAdd your CV once. It takes about a minute.
- 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
- 3The form fills itselfName, email, experience and screening questions, field by field.
- 4Application sentYou get a receipt and follow it in your dashboard.
Apply with Keywordise AI7-day free trial, no card.
Apply from your AI assistant
Connect Keywordise to your assistant once, then send it the prompt. It applies for you.
Claude
- In Claude, open Settings, then Connectors, and choose Add custom connector.
- Name it Keywordise and paste the connector URL.
- Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
ChatGPT
- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
- Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
- Log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
Muse
- Open Muse (muse.ai or the app) and send it the message below.
- If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
- Send the prompt. Muse asks before it sends anything.
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.Muse is available in the US only for now.
Apply to Keywordise job 2so2jspk7wQuestions about this job
Can I do this job remotely, and from which countries?
Yes, it is listed as remote, aimed at candidates in the United States.
What does this job pay?
The posting does not state a salary, so there is no figure to quote.
What experience is needed?
It is a senior role. The posting asks for: senior or tech-lead level engineering experience; comfort working in unfamiliar, complex codebases; practical Git and Docker experience, including dependency fixes. Skills it names include Python, JavaScript, Java, Go.
How do I apply with Keywordise AI?
Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.
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