AI Data Science Expert - Remote
YOLBA I VILLEGAS
Bethesda, MD, United States
5 days ago
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Role details
Contract type
Contract
Employment type
Part-time / full-time
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Data Analysis
Data Architecture
Machine Learning
Prompt Engineering
Data Analytics
Job description
- Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
- Develop, optimize, and evaluate prompts to improve AI model performance.
- Conduct rubric-based assessments of AI outputs and provide structured feedback.
- Perform independent research and fact-checking to validate technical information.
- Annotate data and support quality assurance initiatives for AI training.
- Interpret complex datasets and prepare clear technical reports and summaries.
-
Collaborate remotely with project teams to improve AI models and workflows., Data Architect - Subject Matter Expert (SME) Bethesda, MD Full-Time On-site Join Synertex LLC and bring your expertise to a mission that matters. We’re looking for a D… - 1 month ago
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Requirements
We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required-your data science expertise, analytical thinking, and communication skills are what matter most., * Critical Thinking
- Analytical Reasoning
- Prompt Engineering
- AI Output Evaluation
- Quality Assurance
- Technical Documentation
- Technical & Report Writing
- Content Review & Editing
- Data Annotation
- Data Interpretation
- Fact Checking
- Independent Research
- Problem-Solving
- Attention to Detail
Preferred Qualifications
- 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
- Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
- Strong analytical reasoning, critical thinking, and written communication skills.
- Experience with data annotation, content review, or rubric-based evaluation is preferred.
- Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
- Master’s, MBA, PhD, or other advanced degree is preferred.
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