The work
You will help customers prepare, transfer, and validate data from the start of an ingestion workflow through completion. You will work with experienced forward deployed engineers to troubleshoot technical issues and improve workflow reliability.
- Build and improve scripts, integrations, and automations for data ingestion.
- Investigate issues involving APIs, data formats, and transfer workflows.
- Monitor active workflows and verify that customer data arrives complete and accurate.
- Communicate progress with customers and internal teams, resolve blockers, and improve recurring workflows.
- Create better tooling, documentation, and reusable processes from recurring issues.
What it pays and takes
This is an entry-level, contractor, part-time role. You should be comfortable handling sensitive data and production systems with care, following runbooks, and using judgment when those instructions do not cover an issue.
- Pay: $40 to $60 per hour.
- English fluency is required.
- Foundational programming skills, including writing and debugging basic Python scripts or using a similar language.
- Familiarity with APIs, command-line tools, and Git.
- A methodical approach to troubleshooting, strong ownership, reliability, attention to detail, and clear written communication.
- Ability to follow runbooks, recognize their limits, suggest improvements, and use sound judgment.
- Helpful experience includes SQL, data pipelines, large datasets, cloud storage, Linux, JSON, CSV, or Parquet.
- Location: Open to candidates in Algeria, Argentina, Austria, Bahrain, Bangladesh, Belgium, Brazil, Canada, Chile, Colombia, Denmark, Egypt, France, Germany, Ghana, Greece, India, Indonesia, Italy, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Lebanon, Malaysia, Mexico, Morocco, the Netherlands, Nigeria, Oman, Pakistan, Palestinian Territories, Peru, the Philippines, Portugal, Qatar, Saudi Arabia, Singapore, South Africa, Spain, Sri Lanka, Switzerland, Taiwan, Thailand, Tunisia, the United Arab Emirates, the United Kingdom, the United States, Uzbekistan, and Vietnam.
How it works
Apply on OpenTrain with your resume and then complete the application on the hiring site.
About AI training work
AI training and data-labeling work is the human side of building artificial intelligence. People prepare, review, and organize data so AI systems can learn, and technical contributors help build the tools and workflows that support this process.