Entry-Level Remote Job - Generative AI Content Reviewer

About Rise Data Labs

Rise Data Labs builds high-fidelity data services to power AI systems. We partner with leading research teams and industry stakeholders to improve model quality through human oversight, evaluation, and annotation. Our work spans image, language, and multimodal systems, with a focus on real-world applicability, trust, and safety.

What You’ll Do

As an Image Evaluator, you will be part of a project that supports an AI research initiative. Your role involves:

• Reviewing and assessing outputs generated from AI systems.
• Judging how well outputs align with given prompts and established quality standards.
• Using guidelines/rubrics to provide ratings and structured feedback.
• Helping refine evaluation criteria over time as part of the research collaboration.

Who You Are (Ideal Candidate)

• Comfortable judging visual content with a good eye for detail, quality, and alignment.
• Able to follow guidelines and apply them consistently.
• Reliable, communicative, and detail-oriented.
• Curious about AI and excited to contribute to its improvement.

Requirements

• Access to a stable internet connection and a computer capable of handling visual tasks.
• Ability to meet productivity and quality thresholds.
• Familiarity or comfort with AI / generative models, visual content, or creative/graphic domains is helpful.
• Willingness to work under confidentiality agreements and evolving guidelines.

Preferred Qualifications

• Prior experience working with data vendors such as Scale AI, Surge AI, Sama, Labelbox, Appen, or Lionbridge.
• Background in content evaluation, annotation, or quality assurance for AI/ML projects.
• Exposure to research-oriented environments or human-in-the-loop workflows.
• Ability to adapt quickly to changing rubrics and instructions.

Why Join Rise Data Labs

• Collaborate directly with an AI research team shaping cutting-edge models.
• Contribute to meaningful projects with real impact in the AI space.
• Flexible remote work arrangements.
• Gain experience in evaluation processes central to the future of AI.