SpeechifyHiring

Software Engineer, AI Data

  • USD 30,000 to 120,000 per year
  • Remote, worldwide
  • Senior
  • Posted 9 days ago
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In one line

Backend engineering role on an AI team building petabyte-scale audio data pipelines for model training; fully remote, no office.

About the role

Fits an engineer who likes hunting down new data sources and making training data cheaper and better. The team blends engineering, infrastructure and research, and you own projects from first problem to steady improvement.

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

  • Hunt for new audio data sources and build pipelines that feed them into training sets
  • Improve large-scale processing systems for quality, speed and cost
  • Work with AI scientists to sharpen datasets and support new models
  • Own engineering work from discovery through launch and ongoing fixes

What they look for

  • Computer science degree or similar, or the same knowledge gained on the job
  • Five or more years in software engineering with solid backend skills
  • Python and Bash on Linux
  • Experience running production systems, ideally data pipelines or large-scale processing

Nice to have

  • Web crawlers, data acquisition or distributed processing systems
  • Cloud infrastructure and infrastructure as code, especially GCP and Terraform
  • ML training data, dataset quality or audio processing

Benefits

  • Competitive pay with bonus and stock, plus an asynchronous work culture

How Keywordise applies for you

  1. 1Upload your CVAdd your CV once. It takes about a minute.
  2. 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
  3. 3The form fills itselfName, email, experience and screening questions, field by field.
  4. 4Application sentYou get a receipt and follow it in your dashboard.

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Connect Keywordise to your assistant once, then send it the prompt. It applies for you.

ClaudeConnectorChatGPTConnectorMuseby Meta

Claude

  1. In Claude, open Settings, then Connectors, and choose Add custom connector.
  2. Name it Keywordise and paste the connector URL.
  3. Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

ChatGPT

  1. In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
  2. Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
  3. Log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

Muse

  1. Open Muse (muse.ai or the app) and send it the message below.
  2. If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
  3. Send the prompt. Muse asks before it sends anything.
Message for Muse
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.

Prompt
Apply to Keywordise job 5pgkbswc6w
How to connect

Questions about this job

Is this a remote job, and where can I work from?

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 120,000 per year.

What experience is needed?

It is a senior role. The posting asks for: computer science degree or similar, or the same knowledge gained on the job; five or more years in software engineering with solid backend skills; python and Bash on Linux. Skills it names include Python, Bash, Linux, GCP.

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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