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 behind model training; fully remote, based in France.

About the role

Suits an engineer who likes hard problems, hunting down new data sources and making training systems cheaper and faster. Work happens in a fully distributed team with no office.

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 fresh sources of audio data and pipe them into training sets reliably
  • Improve large data-processing systems for quality, speed and cost
  • Work with AI scientists to sharpen datasets and feed new models
  • Own projects end to end, from spotting the problem to shipping and refining

What they look for

  • Degree in computer science or similar, or the same knowledge gained on the job
  • At least 5 years in software engineering with solid backend fundamentals
  • Fluent in Python and Bash on Linux
  • Has run production systems, ideally data pipelines or large-scale processing
  • Works well alone and takes initiative when things are unclear

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 plus bonus and stock
  • Asynchronous work culture with plenty of autonomy

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 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 100,000 per year.

What experience is needed?

It is a senior role. The posting asks for: degree in computer science or similar, or the same knowledge gained on the job; at least 5 years in software engineering with solid backend fundamentals; fluent in Python and Bash on Linux. 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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