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

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.

- 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.

• 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.

• 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, Num Py) 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 (Git Hub)
• AI/ML Tools: Experience working with playground environments and prompt debugging
• Communication: Excellent technical writing skills and ability to clearly explain data requirements

• Prior experience in data labeling, technical support analysis, or AI model evaluation
• Background or exposure to AI-related projects

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.