Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models. As a Welocalize brand, WeloData leverages over 25 years of experience in partnering with the world’s most innovative companies and brings together a curated global community of over 500,000 AI training and domain experts to offer services that span:
ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling.
ENHANCING LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model output ranking.
DATA COLLECTION & GENERATION: From institutional languages to remote field audio collection.
RELEVANCE & INTENT: Culturally nuanced and aware, ranking, relevance, and evaluation to train models for search, ads, and LLM output.
Want to join our Welo Data team? We bring practical, applied AI expertise to projects. We have both strong academic experience and a deep working knowledge of state-of-the-art AI tools, frameworks, and best practices. Help us elevate our clients' Data at Welo Data.
Are you passionate about the nuances of language and shaping the future of artificial intelligence? Welo Data is seeking a creative Prompt Engineer to join our team.
In this role, you will be instrumental in refining and evaluating large language models (LLMs). You'll design prompts, evaluate the responses based on the functionality, accuracy, and safety of cutting-edge AI systems, and generate the best possible answer for the target audience. Your expertise will help us build smarter, more reliable, and more helpful technology. 🤖
Location: Remote work, must be based in Egypt
Project Duration: Open-ended
Pay Rate: $7-12 USD. The exact rate will be determined after evaluating your experience and expertise.
Schedule: Flexible. Must be available for scheduled weekly meetings.
Start Date: ASAP
Key Responsibilities
- Prompt Engineering & Model Evaluation
- Design, test, and iteratively refine creative prompts to enhance AI model capabilities in reasoning, instruction following, and contextual understanding.
- Compare, choose, and score AI-generated outputs, providing detailed rationales, and to identify the superior response.
- Perform in-depth fact-checking and analysis to ensure model responses are accurate, relevant, and grounded in reliable sources.
- Develop ideal responses to serve as benchmarks for model training and performance analysis.
Qualifications
- Bachelor's degree or equivalent experience in Linguistics, Computational Linguistics, Communications, Technical Writing, or a related analytical field.
- B2 or superior level of English.
- Native fluency in Modern Standard Arabic with exceptional writing and editorial skills.
- Proven experience in a role involving AI data annotation, content quality review, search quality rating, or prompt engineering.
- Ability to work independently and manage workflows effectively in a remote environment.
Nice to Have
- Multilingual proficiency in one or more Arabic dialects.
- Background in QA testing, rubric design, or AI safety and ethics evaluation.
- Familiarity with data annotation platforms and model evaluation tools.
