Ara Gamma – Data Engineer (LLM Data & Prompt Engineering) - English language

Welocalize; À distance; EUR 60 000 - 80 000; Temps partiel

Résumé du poste

A data solutions company is seeking Data Engineers in France to develop datasets for training Large Language Models. Key responsibilities include designing prompts for customer journeys and data quality assurance. The ideal candidate possesses strong analytical skills and proficiency in SQL and Python. Applicants must be fluent in English and available for a project-based freelance position starting December 22nd. This role emphasizes collaboration with engineering teams to enhance AI model performance.

Qualifications

• Native or professional fluency in English (C1/C2).
• Understanding of LLM behavior and prompt engineering principles.
• Strong analytical skills and critical thinking.

Responsabilités

• Design complex LLM prompts for customer journeys.
• Partner with Field Engineers to structure data for model training.
• Annotate and review tasks for quality assurance.

Connaissances

SQL for data extraction

Python (Pandas, NumPy)

Attention to detail

Technical writing

AI/ML tools knowledge

Outils

Labelbox

Prodigy

Google Sheets

GitHub

Description du poste

About the Role

We are looking for Data Engineers to support the development and refinement of high-quality datasets used to train Large Language Models (LLMs).

In this role, you will design and evaluate complex prompts modeled after real customer support ticket journeys, ensuring model outputs align with customer expectations.

You will work closely with engineering teams to generate, annotate, validate, and QA task data used in AI training workflows.

Project Details & Commitment

• Location: US / North America
• Language Requirement: English (Native or C1/C2)
• Contract Type: Freelance, Project-based
• Contract Duration: December 22nd – January 31st (possibility of extension)
• Work Schedule (choose one):
• - Minimum 4 hours per day, Monday to Friday
• - OR 2 hours Monday–Friday plus 10 hours over the weekend
• Commitment: Reliable and consistent availability is mandatory
• Hourly rate: 100 USD
• Start date: Monday, December 22nd. Only candidates who are able to start on this date will be considered.
• Please note: This opportunity is only available for candidates located in the United States.

Key Responsibilities

• Query & Prompt Generation: Design complex LLM prompts that accurately represent real customer journeys and service interactions.
• Data Shaping & Collaboration: Partner with Field Engineers to transform raw data into structured, high-quality tasks for model training.
• Annotation & Evaluation: Annotate and review tasks to ensure strict quality standards and alignment with expected customer outcomes.
• Quality Assurance: Validate and assess model responses to ensure accuracy, relevance, and confidence in outputs.

Required Skills & Qualifications

• 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

Ready to Join?

If you’re excited about working hands-on with cutting-edge AI models and shaping how LLMs understand real customer journeys, we’d love to hear from you.

This is a great opportunity to collaborate with experienced engineering teams, apply your technical and analytical skills to real-world AI challenges, and make a direct impact on model quality and performance.

Apply now and be part of building the next generation of AI-powered solutions. 🚀