SpeechifyHiring

Software Engineer, AI Data

  • USD 30,000 to 100,000 per year
  • Remote, worldwide
  • Senior
  • Posted 9 days ago
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In one line

Backend engineering role on an AI team, building the data pipelines that feed model training; fully remote, based in Finland.

About the role

The team builds large audio datasets cheaply at petabyte scale, mixing engineering, infrastructure and research. Success means pipelines that stay reliable and keep data quality high while cost and throughput stay under control.

At a glance

Pay
USD 30,000 to 100,000 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 data
  • Improve large-scale processing systems for quality, throughput and cost
  • Work closely with AI scientists to sharpen training sets and support new models
  • Own projects end to end, from spotting the problem to shipping and refining

What they look for

  • A computer science degree or similar practical experience
  • Five or more years in software engineering with solid backend fundamentals
  • Python and Bash skills in Linux environments
  • Experience running production systems, ideally data pipelines or large-scale processing
  • Comfort working independently when the problem is not well defined

Nice to have

  • Web crawlers, data acquisition or distributed processing systems
  • Cloud infrastructure and Infrastructure as Code, especially GCP and Terraform

How Keywordise applies for you

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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

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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
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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 100,000 per year.

What experience is needed?

It is a senior role. The posting asks for: a computer science degree or similar practical experience; five or more years in software engineering with solid backend fundamentals; python and Bash skills in Linux environments. 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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