Remote Generative AI Specialist (Part-Time, Flexible)

Innodata Inc.; Rhode Island; On-site; USD 17,047 - 24,280; Part time

Benefits offered by this job

Remote work

Flexible schedule

Part-time project-based

Job summary

Innodata Inc. is seeking a Generative AI Specialist to join a global SME on Demand program. This part-time, remote role focuses on evaluating AI content, labeling data, and creating training data through transformations to improve model performance.

The ideal candidate holds a humanities degree with strong English skills (C1/C2) and seeks flexible, project-based engagement. Expect collaboration with leading tech partners on generative AI initiatives.

Qualifications

• Bachelor’s degree or higher in a humanities specialization is required.
• Professional or expert level proficiency (C1/C2) in English is required or preferred.

Responsibilities

• Rate and assess AI model performance using evaluative questions.
• Label elements of content rather than entire items.
• Assign predefined categories or labels to items.
• Evaluate content quality and appropriateness per guidelines.
• Generate labels to advance understanding of concepts or trends.
• Create additional training data via text/image transformations.
• Review data against project guidelines for feature functionality.
• Label model outputs for content type (e.g., clickbait, branding).
• Rank items based on given criteria.
• Create prompts for language model responses.
• Evaluate content relevance on a defined scale.
• Generate responses to prompts using AI systems.
• Rewrite text to improve clarity while preserving meaning.
• Produce concise summaries of longer texts or data.
• Transcribe audio to text.
• Translate text or speech between languages.
• Aggregate diverse data formats for training and evaluation.

Skills

English proficiency (C1/C2)

Education

Bachelor’s degree in humanities

Master’s or PhD preferred

Job description

Innodata Inc. is seeking a Generative AI Specialist to join a global SME on Demand program. This part-time, remote role focuses on evaluating AI content, labeling data, and creating training data through transformations to improve model performance.

The ideal candidate holds a humanities degree with strong English skills (C1/C2) and seeks flexible, project-based engagement. Expect collaboration with leading tech partners on generative AI initiatives.