About the job

Work hours: Flexible

Work mode: Remote

Work Type: Consultant (Freelancer)

Location: Remote

Project Details: This is a freelance project with flexible hours and hourly pay.

We are seeking backend LLM / AI Trainers where we evaluate and label LLM data based on given guidelines, common sense and a bit of online research. By LLM data, we mean prompts (that users give to LLM’s) or responses (that LLM’s give back to the users). This data can be in the form of audio, video, text and image.

Eligibility: PhD & Masters are Eligible

Subjects: Astrophysics, Biology, Physics, Philosophy, Quantum Mechanics, Biochemistry, Aerospace, Biomedical, Biotechnology, Cybersecurity, Earth Sciences, Electrical, Environmental Sciences, Robotics, Civil, Mechanical, Genetics.

Key Responsibilities:

• Label and evaluate data for AI training using provided guidelines, your judgment, and online research.
• Assess data for various parameters, including Factuality / Truthfulness: Verify that the claims in the content are factually accurate. Data is domain specific.
• Verbosity: Assess whether the content is clear and concise or overly complex.
• English Grammar: Check for correct grammar and proper use of language.
• Instructions Adherence: Ensure that the content adheres to specific instructions.
• Relevance: Evaluate the relevance of the content to the task or topic at hand.
• Use your general knowledge, critical thinking, and common sense to assess and label data.
• Frequently engage in online research to validate facts and check for accuracy. Continuously train yourself on new tools and guidelines provided for data evaluation.
• Work with a variety of content types, including text, audio, images, and video.
• Review and process content that may contain sensitive or explicit material, including hate speech, dangerous content, or discrimination

Must-Have Skills

• Strong understanding of advanced concepts, including the preferred research areas.
• Excellent reasoning, analytical, and problem-solving skills.
• Ability to conduct online research and validate data in complex domains.
• Capacity to adapt and learn new tools efficiently.
• Experience with different data types: text, audio, image, and video.
• Prior experience in research, teaching, or application is a plus.
• Experience in evaluating academic or scientific content, or similar tasks is advantageous.

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