Software Engineer, AI Data
- USD 30,000 to 115,000 per year
- Remote, worldwide
- Senior
- Posted 9 days ago
or apply from Claude / ChatGPT / Muse
Backend engineer on an AI data team, building pipelines that feed model training; fully remote, no office, based in Sweden.
About the role
Remote across a fully distributed team of about 200 people, with asynchronous work as the norm. The job is about turning new audio sources into clean training data at petabyte scale without letting cost or quality slip.
At a glance
- Pay
- USD 30,000 to 115,000 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 sources of audio and build pipelines that pull them into training sets
- Improve large-scale processing systems for data quality, throughput and cost
- Work with AI scientists to sharpen datasets for the next round of models
- Own projects from spotting the problem through to shipping and iterating
What they look for
- A computer science degree or comparable hands-on experience
- At least 5 years in software engineering, with solid backend fundamentals
- Python and Bash on Linux, plus running production systems
- Comfort working alone and making calls when the problem is unclear
Nice to have
- Web crawling, data acquisition or distributed processing experience
Benefits
- Competitive pay with bonus and stock
- Asynchronous work culture
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 dhoivgmyklQuestions 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 115,000 per year.
What experience is needed?
It is a senior role. The posting asks for: a computer science degree or comparable hands-on experience; at least 5 years in software engineering, with solid backend fundamentals; python and Bash on Linux, plus running production systems. Skills it names include Python, Bash, Linux, GCP.
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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