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AI Annotation Specialist
Job summary
Fargo
Work model
Fully remote
Only United States
1 month ago
Job description
Requirements
Must have:
- High School Diploma or equivalent education
- Professional or expert proficiency in English (C1/C2)
- Strong analytical skills and attention to detail
- Ability to work independently and manage time effectively
- Good understanding of language and logic
- Familiarity with AI concepts is a plus
Responsibilities:
- Assess and rate AI models based on their outputs and behaviors through evaluative questions
- Label specific elements within content instead of the entire piece
- Assign predefined categories or labels to various items
- Evaluate content quality and appropriateness
- Generate labels to enhance comprehension of concepts or trends
- Create additional training data for machine learning through content transformations
- Review data to validate if product features function correctly
- Label outputs from models to categorize content effectively
- Rank items based on specific preferences or criteria
- Develop prompts or questions for generating responses from AI systems
- Analyze content relevancy based on established scales
- Generate responses using language models or other AI systems
- Rewrite text for clarity, style, and guideline adherence
- Produce concise summaries of lengthy texts or datasets
- Transcribe spoken language or audio content into written format
- Translate text or spoken language between languages
- Compile various data types for use in training, evaluating, or fine-tuning AI models
Company:
At Innodata, a global leader in data engineering, we believe in the deep connection between data and Artificial Intelligence (AI). Our mission focuses on advancing AI responsibly through data and expertise, equipping organizations to build trustworthy AI systems. We offer a unique and flexible part-time opportunity for Data Annotators within our Subject Matter Expert on Demand program. This remote position allows contributors to partner with top tech companies and engage in significant AI projects, ensuring they can manage their commitments and impact from wherever they are.