Software Engineer, AI Data
- USD 30,000 to 120,000 per year
- Remote, worldwide
- Senior
- Posted 9 days ago
or apply from Claude / ChatGPT / Muse
Backend role on an AI team building large audio data pipelines for model training; fully remote with no office.
About the role
Remote setup with a team of nearly 200 spread across the world and an asynchronous culture. The work pairs engineering and infrastructure with research so training data gets better and cheaper at petabyte scale.
At a glance
- Pay
- USD 30,000 to 120,000 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
- Discover new audio data sources and build dependable pipelines into the training sets
- Build and tune large-scale data-processing systems for quality, throughput and cost
- Team up with AI scientists to improve datasets and back new model development
- Take engineering projects from finding the problem to shipping and refining
- Work independently in situations where the path is not clear yet
What they look for
- Five or more years of professional engineering with strong backend fundamentals
- Python and Bash in Linux environments, plus experience operating production systems
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 cpixttivnuQuestions about this job
Is this job fully remote, and from where?
Yes. The posting lists Software Engineer, AI Data as a remote role open to candidates worldwide.
What does this job pay?
The posting states USD 30,000 to 120,000 per year.
What experience is needed?
It is a senior role. The posting asks for: five or more years of professional engineering with strong backend fundamentals; python and Bash in Linux environments, plus experience operating production systems. 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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