AI Research Scientist
- USD 150 to 200 per hour
- Remote, United States
- Contract
- Senior
- Posted 8 days ago
or apply from Claude / ChatGPT / Muse
Contract work designing hard machine learning tasks for a long-horizon AI research project, focused on inference, evaluation and systems. Fully remote, paid hourly.
About the role
Suited to a current or former ML research engineer, scientist or applied scientist who can judge what stumps a frontier model. Most of the thinking goes into task design, not model training.
At a glance
- Pay
- USD 150 to 200 per hour
- Remote scope
- Remote, United States
- Seniority
- Senior
- Employment
- Contract
- Skills
- PyTorch, JAX, LLMs, GPU inference, Reinforcement learning, Scientific ML
- Posted
- 21 Oct 2026
- Last checked
- 28 Oct 2026
What you will do
- Write machine learning engineering tasks for a long-horizon research project
- Make each task hard enough that frontier models solve it at most twice in eight tries
- Work on inference, evaluation and systems problems that run on both GPU and CPU
- Explain in clear terms why a given problem is difficult for a frontier model
What they look for
- Experience training, fine-tuning or optimising models in PyTorch or JAX
- Depth in one of: LLMs, GPU inference and performance, reinforcement learning, or scientific ML
- Ability to say plainly what makes a problem hard for a frontier model
Nice to have
- Experience writing benchmark or evaluation questions
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.
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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 wtr37hwgmlQuestions about this job
Is this job fully remote, and from where?
Yes, it is listed as remote, aimed at candidates in the United States.
What does this job pay?
The posting states USD 150 to 200 per hour.
What experience is needed?
It is a senior role. The posting asks for: experience training, fine-tuning or optimising models in PyTorch or JAX; depth in one of: LLMs, GPU inference and performance, reinforcement learning, or scientific ML; ability to say plainly what makes a problem hard for a frontier model. Skills it names include PyTorch, JAX, LLMs, GPU inference.
How do I apply with Keywordise AI?
Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.
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