1 day ago

Multimodal GenAI Evaluation Analyst

Braintrust

Hybrid
Full Time
$50,000
Hybrid

Job Overview

Job TitleMultimodal GenAI Evaluation Analyst
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$50,000
LocationHybrid

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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

Tags:

Multimodal GenAI Evaluation Analyst
AI evaluation
LLM
data annotation
content moderation
quality assurance
linguistic nuance
prompt engineering
multimodal AI
critical thinking
feedback
Large Language Models
Generative AI
Vision Models
AI Systems
Data Annotation Tools
Machine Learning
AI/ML domains
Natural Language Processing
Computer Vision
Multimodal Data

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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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