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The role involves analyzing complex datasets and research-based questions to improve the performance of large language models. Responsibilities include summarizing content, validating information accuracy, and creating training scenarios to enhance model responses.
Careerflow Human Data Labs partners with AI companies to bring real-world professional expertise into their products.
Role Overview:
Work on projects focused on fine-tuning and improving large language models such as ChatGPT. Analyzed complex content, summarized key information, validated claims through online research, and solved logical problems. Created high-quality analytical responses, detailed explanations, and training scenarios to enhance model accuracy. Developed expertise in leveraging AI to strengthen research and analytical capabilities.
Key Responsibilities:
Analyze complex content, datasets, logical puzzles, and research-based questions.
Research online sources to verify claims and validate information accuracy.
Summarize large volumes of content into concise and logical sections.
Evaluate AI-generated responses and provided accurate corrections with explanations.
Create analytical scenarios and annotations to improve large language model performance.
Requirements:
Recent graduates or currently pursuing a degree
Demonstrate fluency in the U.S. English (en-US)
Maintain an active, previously established Gemini App account with genuine conversation history (Avoid creating an account solely for participation in this project)
Maintain at least 10 separate conversations related to education, learning, academics, exam preparation, research, projects, or skill development (This will be validated before joining).
Apply strong research, analytical, logical reasoning, and problem-solving abilities.
Provide constructive feedback supported by detailed explanations and annotations.
Apply creative and lateral thinking to solve unfamiliar and complex problems.
Work independently while maintaining productivity in a remote environment
Preferred Skills:
Pursued or completed a bachelor’s degree in Engineering, Literature, Journalism, Communications, Arts, Statistics, or a related field.
Demonstrated relevant professional experience in analysis, research, writing, editing, translation, or journalism.
Used Microsoft Excel and Google Workspace for documentation and data-related tasks.
Interpreted data and applied basic arithmetic to evaluate trends and relationships.
Applied logical reasoning and AI-assisted tools to improve research and analytical outcomes.
1+ years of professional experience
Total number of positions: 100
Engagement Length: 16 weeks, Full-time (8 hours/day) 40 hours per week. Overlap 4 hours with PST
Location - USA (All locations except Texas, Illinois, California, Connecticut, Massachusetts, New Jersey, Vermont)
16-week project, with a preferred commitment of up to 40 hours per week.
Fully remote, with payment in USD.
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