Data Engineer – LLM Data & Prompt Engineering
Welocalize
contract
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $100 per hour
Job Level
Mid-LevelSenior
Tech Stack
NumpyPandasPythonSQL
About the role
- Design complex LLM prompts that accurately represent real customer journeys and service interactions
- Partner with Field Engineers to transform raw data into structured, high-quality tasks for model training
- Annotate and review tasks to ensure strict quality standards and alignment with expected customer outcomes
- Validate and assess model responses to ensure accuracy, relevance, and confidence in outputs
Requirements
- Language: Native or professional fluency (C1/C2) in English
- LLM & Prompting Knowledge: Understanding of LLM behavior and prompt engineering principles
- Analytical Skills: Strong attention to detail, critical thinking, and comfort working with ambiguous scenarios
- Technical Skills:
- SQL for data extraction
- Python (Pandas, NumPy) for data manipulation
- Experience with annotation tools (e.g., Labelbox, Prodigy, or similar platforms)
- Advanced proficiency in Google Sheets/Drive
- Familiarity with version control tools (GitHub)
- AI/ML Tools: Experience working with playground environments and prompt debugging
- Communication: Excellent technical writing skills and ability to clearly explain data requirements
- Nice to Have:
- Prior experience in data labeling, technical support analysis, or AI model evaluation
- Background or exposure to AI-related projects
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLPythonPandasNumPyannotation toolsGoogle SheetsGitHubAI/ML toolsprompt engineeringdata labeling
Soft skills
attention to detailcritical thinkingcommunicationtechnical writing