Multimodal GenAI Evaluation Analyst
Braintrust
Job Overview
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Job Description
Position Overview
iMerit seeks detail-oriented and analytically minded Multimodal GenAI Evaluation Analysts to perform highly nuanced evaluations of AI system outputs across different modalities: text, image, video, and multimodal interactions. Analysts will assess the accuracy, appropriateness, quality, clarity, and cultural alignment of model outputs against complex guidelines, ensuring that results align with project standards and real-world use cases. These evaluations will directly inform the development and fine-tuning of advanced large language models (LLMs), vision models (LVMs), and multimodal AI systems.
Role Responsibilities
- Evaluate outputs generated by LLMs across multiple modalities (text, image captions, video descriptions, and multimodal prompts).
- Assess quality against project-specific criteria such as correctness, coherence, completeness, style, cultural appropriateness, and safety.
- Identify subtle errors, hallucinations, or biases in AI responses.
- Apply domain expertise and logical reasoning to resolve ambiguous or unclear outputs.
- Provide detailed written feedback, tagging, and scoring of outputs to ensure consistency across the evaluation team.
- Escalate unclear cases and contribute to refining evaluation guidelines.
- Collaborate with Project Managers and Quality Leads to meet accuracy, reliability, and turnaround benchmarks.
Skills & Competencies
- Strong critical reading, observational, and evaluative skills across different modalities.
- Ability to articulate nuanced judgments with precision and clarity.
- Excellent English comprehension (CEFR B2 or above); additional languages a plus.
- Familiarity with LLMs, generative AI, and multimodal systems.
- Strong attention to detail and ability to apply guidelines consistently.
- Awareness of cultural and linguistic nuances, including potential bias and harm in AI outputs.
- Comfort with evolving workflows, rapid feedback cycles, and complex quality frameworks.
Requirements
- Bachelor's degree/ diploma or equivalent educational qualification.
- 1+ years of experience in data annotation, LLM evaluation, content moderation, or related AI/ML domains.
- Demonstrated experience working with data annotation tools and software platforms.
- Strong understanding of language and multimodal communication (instruction following in image generation, fact-checking, narrative coherence in video, etc.).
- Ability to adapt quickly to changing project directions and fast-paced work environments.
- Previous experience creating or annotating complex data specifically for Large Language Model (LLM) training.
- Prior exposure to generative AI, prompt engineering, or LLM fine-tuning workflows is a plus.
While moderation of high-harm/high-risk material is not part of this role, candidates should be aware that occasional exposure to NSFW or otherwise sensitive content may occur due to imperfections in client-provided datasets. Applicants should indicate that they are comfortable working in environments where such incidental exposure is a possibility.
What We Offer
- Opportunities to shape the evaluation standards for next-generation multimodal AI systems.
- Innovative and supportive global working environment.
- Competitive compensation and flexible remote working arrangements.
- Continuous learning and growth in applied AI evaluation.
Selection Process
Please acknowledge that you agree to the selection process below:
- You will receive an iMerit platform assessment (15–30 minutes). If successfully completed, you’ll be invited to join the first project.
- After onboarding, once you’ve completed 10 hours of work, a quality test will be conducted.
- If you pass the quality test, you’ll continue on a 3-month project and will be invited to participate in upcoming projects.
Note:
- You will complete a quick 15–30 minute assessment. This requires downloading a browser extension, which can be removed once the assessment is completed.
- ID verification and background check are required.
- Onboarding will be completed through iMerit’s platform.
For Digital Nomads: If you are currently traveling, please let us know. This ensures any discrepancies between your current location and your work authorization location do not affect your application.
Commitment
- Minimum 20 hours per week (flexible schedule).
- You may work more hours if desired.
Hourly Rates
- Malaysia – $5/hr
- Mexico, Colombia, Brazil, Costa Rica – $8.50/hr
- Argentina, Poland, Bulgaria, Romania, Malta, Latvia, Lithuania, UAE – $13/hr
- Portugal, Italy, Greece, Spain – $15.50/hr
- Canada, Australia, New Zealand, United Kingdom, Ireland, US, Finland, France, Sweden, Belgium, Austria, Denmark, Germany, Luxembourg, Estonia – $22/hr
Key skills/competency
- AI Evaluation
- Large Language Models (LLMs)
- Multimodal AI Systems
- Data Annotation
- Content Moderation
- Critical Thinking
- Linguistic Nuance
- Generative AI
- Quality Assurance
- Prompt Engineering
How to Get Hired at Braintrust
- Research Braintrust's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor, focusing on their decentralized and remote-first model.
- Tailor your resume: Highlight specific experience in AI annotation, LLM evaluation, content moderation, and working with multimodal data. Quantify your impact where possible.
- Showcase your analytical skills: Emphasize critical reading, attention to detail, and the ability to articulate nuanced judgments across various modalities.
- Prepare for assessments: Expect and practice for the iMerit platform assessment, which will evaluate your evaluation and quality assurance capabilities directly.
- Demonstrate domain expertise: Be ready to discuss your familiarity with generative AI, LLMs, vision models, and prompt engineering workflows during the selection process.
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