Associate Forward Deployed Engineer

You will help move customer data into a platform, from preparation through transfer and validation. The work combines hands-on engineering with operational execution and careful troubleshooting.

You will improve scripts, integrations, and automations, investigate issues across APIs and data formats, monitor active workflows, and verify that data arrives complete and accurate. You will also communicate progress, resolve blockers, and turn recurring problems into better tools, documentation, and reusable workflows.

• Prepare, transfer, and validate customer data.
• Build and improve Python scripts, integrations, and workflow automations.
• Troubleshoot APIs, data formats, command-line tools, and transfer workflows.
• Monitor active workflows and check data for completeness and accuracy.
• Communicate clearly with customers and internal teams about progress and blockers.
• Improve runbooks, documentation, tooling, and repeatable workflows.

What It Pays and Takes

This is an entry-level, part-time contractor role. You should be comfortable taking ownership of detailed technical work, following runbooks, and using judgment when handling sensitive data and production systems.

• Pay: $40 to $60 per hour.
• Work type: Part-time contract.
• 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.
• Language: Professional fluency in English.
• Programming: Foundational programming skills, including writing and debugging basic Python scripts or using a similar language.
• Tools: Familiarity with APIs, command-line tools, and Git.
• Work approach: Methodical troubleshooting, strong ownership, reliability, attention to detail, and clear written communication.
• Technical experience with SQL, data pipelines, large datasets, cloud storage, Linux, JSON, CSV, or Parquet is helpful.
• Experience using AI coding tools to build and debug code, with careful review of their output.

How It Works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI Training Work

AI training and data-labeling work is the human work behind modern AI systems. People prepare, review, and evaluate data so models can learn, and technical contributors are needed for coding, data workflows, and quality checks.