Software Engineer, AI Data
- USD 30,000 to 100,000 per year
- Remote, worldwide
- Senior
- Posted 9 days ago
or apply from Claude / ChatGPT / Muse
Backend engineering role on an AI team, building the data pipelines behind model training; fully remote with no office.
About the role
Training datasets at petabyte scale need to get cheaper and better, and this role sits where engineering, infrastructure and research meet to make that happen.
At a glance
- Pay
- USD 30,000 to 100,000 per year
- Remote scope
- Remote, worldwide
- Seniority
- Senior
- Skills
- Python, Bash, Linux, GCP, Terraform
- Posted
- 20 Oct 2026
- Last checked
- 29 Oct 2026
What you will do
- Find new places to source audio and build pipelines that pull it into training data
- Improve large-scale processing systems for quality, speed and cost
- Work with AI scientists on datasets and next-generation models
What they look for
- Five or more years of professional software engineering with solid backend fundamentals
- Degree in computer science or similar, or equivalent practical experience
- Python and Bash on Linux
- Experience running production systems, ideally data pipelines or large-scale processing
- Comfort working independently when the problem is not clearly defined
Nice to have
- Web crawlers, data acquisition or distributed processing systems
- Cloud infrastructure and Infrastructure as Code, especially GCP and Terraform
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 tztva22gysQuestions about this job
Is this job fully remote, and from where?
Yes, it is listed as remote, and the posting does not tie it to one country.
What does this job pay?
The posting states USD 30,000 to 100,000 per year.
What experience is needed?
It is a senior role. The posting asks for: five or more years of professional software engineering with solid backend fundamentals; degree in computer science or similar, or equivalent practical experience; python and Bash on Linux. Skills it names include Python, Bash, Linux, GCP.
How do I apply with Keywordise AI?
Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.
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