AI Data Scientist/Prompt Engineer Needed/Ai Trainer

Job ID: 40426178

Budget: $2 – $8 USD

Remote AI Data Scientist / Prompt Engineer / AI Trainer
Job Description

We are seeking a highly intelligent, detail-oriented, and analytical AI Data Scientist / Prompt Engineer to work on advanced AI training, evaluation, and annotation projects across multiple AI platforms.

This role involves evaluating AI-generated responses, creating prompts, validating reasoning, reviewing coding and research outputs, and completing complex AI training workflows with high accuracy and consistency.

This is a fully remote position with long-term growth opportunities for the right candidate.

Responsibilities
Evaluate and rank AI-generated responses
Write and optimize prompts for large language models (LLMs)
Perform data analysis and reasoning tasks
Fact-check AI outputs for accuracy and quality
Review coding and technical responses
Complete AI annotation and evaluation workflows
Follow detailed project instructions with precision
Maintain high productivity and quality standards
Work across multiple AI training and research platforms
Requirements
Required Skills
Excellent English writing and communication
Strong analytical and critical thinking skills
Ability to follow detailed instructions carefully
Experience using AI tools such as ChatGPT, Claude, Gemini, or similar
Strong internet research skills
High attention to detail
Ability to work independently and meet deadlines
Preferred Qualifications
Python or SQL experience
Data science or computer science background
Experience with AI annotation or RLHF projects
Experience with prompt engineering
Familiarity with machine learning concepts
Previous experience on AI evaluation platforms is a plus
Ideal Candidate

We are looking for someone who is:

Highly intelligent and fast-learning
Organized and dependable
Comfortable working with AI systems
Able to think critically and logically
Interested in artificial intelligence and emerging technologies
Self-motivated and productive in a remote environment
Compensation
Remote position
Flexible hours
Competitive pay based on experience and performance
Long-term opportunity with growth potential