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 job on an AI data team, building pipelines that feed model training; fully remote, no office.

About the role

Model training depends on large, high-quality audio datasets built cheaply, and this role owns the engineering behind them. Expect to work with infrastructure and research people to make training data better and processing cheaper.

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 down new audio data sources and build reliable pipelines into training datasets
  • Build and improve large-scale processing systems, balancing data quality, throughput and cost
  • Collaborate with AI scientists to sharpen training datasets and support new models
  • Own engineering projects from discovery through implementation and continuous improvement

What they look for

  • Five or more years of professional software engineering with strong backend fundamentals
  • Python and Bash proficiency in Linux environments
  • Experience operating production systems, ideally data pipelines or large-scale data processing

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 uz2rkvn3rw
How to connect

Questions about this job

Can I do this job remotely, and from which countries?

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: five or more years of professional software engineering with strong backend fundamentals; python and Bash proficiency in Linux environments; experience operating production systems, ideally data pipelines or large-scale data 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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