SpeechifyHiring

Software Engineer, AI Data

  • USD 30,000 to 90,000 per year
  • Remote, worldwide
  • Senior
  • Posted 9 days ago
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In one line

AI data engineering role focused on audio pipelines for model training; fully remote, based in Lithuania.

About the role

Audio data sourcing and pipeline work sit at the center of this job, feeding training sets used for new models. The team mixes engineering, infrastructure and research to get large datasets at low cost.

At a glance

Pay
USD 30,000 to 90,000 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

  • Build and maintain pipelines that bring new audio sources into training datasets
  • Improve large-scale data processing for quality, throughput and cost
  • Work with AI scientists on dataset improvements and next-generation models

What they look for

  • A computer science degree or related field, or equivalent practical experience
  • Five or more years of software engineering with strong backend fundamentals
  • Python and Bash in Linux environments, plus experience running production systems

Nice to have

  • Web crawlers, data acquisition, distributed processing, GCP and Terraform, or ML training data

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

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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?

The posting lists it as remote with no single country named, so candidates from different countries can apply.

What does this job pay?

The posting states USD 30,000 to 90,000 per year.

What experience is needed?

It is a senior role. The posting asks for: a computer science degree or related field, or equivalent practical experience; five or more years of software engineering with strong backend fundamentals; python and Bash in Linux environments, plus experience running production systems. 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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