Software Engineer, AI Data
- USD 30,000 to 65,000 per year
- Remote, worldwide
- Senior
- Posted 9 days ago
or apply from Claude / ChatGPT / Muse
Backend role on an AI data team, building pipelines that feed model training; fully remote, no office.
About the role
Audio data pipelines and large-scale processing systems are the core of the work, with ownership from first problem discovery through to steady improvement.
At a glance
- Pay
- USD 30,000 to 65,000 per year
- Remote scope
- Remote, worldwide
- Seniority
- Senior
- Skills
- Python, Bash, Linux
- Posted
- 20 Oct 2026
- Last checked
- 29 Oct 2026
What you will do
- Source new audio data and build dependable pipelines into the training datasets
- Make large-scale processing systems better on quality, throughput and cost
- Partner with AI scientists to sharpen datasets and support new models
What they look for
- At least five years of professional software engineering, with strong backend skills
- Python and Bash in Linux environments
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 u4qsek2pq7Questions about this job
Is this a remote job, and where can I work from?
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 65,000 per year.
What experience is needed?
It is a senior role. The posting asks for: at least five years of professional software engineering, with strong backend skills; python and Bash in Linux environments. Skills it names include Python, Bash, Linux.
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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