Software Engineer, AI Data
- USD 30,000 to 160,000 per year
- Remote, worldwide
- Senior
- Posted 9 days ago
or apply from Claude / ChatGPT / Muse
Backend engineering role on an AI data team, building pipelines that feed model training; the company is fully remote with no office.
About the role
Training data for speech models has to be gathered and cleaned at petabyte scale without running up costs. The hire owns that pipeline work end to end, from finding new audio sources to keeping quality and throughput up.
At a glance
- Pay
- USD 30,000 to 160,000 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 fresh sources of audio and build pipelines that pull them into training sets
- Improve large-scale processing systems for data quality, throughput and cost
- Work alongside AI scientists to refine datasets behind new models
- Own projects from spotting the problem through to shipping and iterating
What they look for
- Five or more years in software engineering with solid backend fundamentals
- Python and Bash skills on Linux systems
- Track record running production systems, ideally data pipelines or large-scale processing
- Comfort working alone and making calls in unclear situations
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 c2xtcgddgvQuestions about this job
Can I do this job remotely, and from which countries?
The posting lists it as remote with no single country named, so candidates from different countries can apply.
What does this job pay?
The posting states USD 30,000 to 160,000 per year.
What experience is needed?
It is a senior role. The posting asks for: five or more years in software engineering with solid backend fundamentals; python and Bash skills on Linux systems; track record running production systems, ideally data pipelines or large-scale processing. 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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