SpeechifyHiring

Software Engineer, AI Data

  • USD 30,000 to 65,000 per year
  • Remote, worldwide
  • Senior
  • Posted 9 days ago
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In one line

Backend engineering role on a small AI team, building the data pipelines behind model training; fully remote, based in Croatia.

About the role

Audio data sourcing and pipeline work sits with this engineer, who keeps datasets large, cheap and clean enough for training. The team mixes engineering, infrastructure and research, and people work asynchronously with no office.

At a glance

Pay
USD 30,000 to 65,000 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 data and build pipelines that feed them into training sets
  • Improve large-scale processing systems for quality, throughput and cost
  • Work with AI scientists to sharpen datasets and support new models
  • Own projects from first problem discovery through to steady improvement

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 on Linux
  • Experience running production systems, ideally data pipelines or large-scale processing
  • Comfort working independently when the problem is not well defined

Nice to have

  • Background in web crawlers, data acquisition, distributed processing, GCP, Terraform or audio

Benefits

  • Competitive pay plus bonus and stock, with 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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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
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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 65,000 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 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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