1 day ago

Conversational AI Assessor

Mercor

Hybrid
Part Time
$93,600
Hybrid

Job Overview

Job TitleConversational AI Assessor
Job TypePart Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$93,600
LocationHybrid

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Job Description

About Mercor

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Conversational AI Assessor

This role involves evaluating large language model (LLM) responses and ensuring they effectively answer user queries. You will conduct fact-checking, generate high-quality human evaluation data, and assess various aspects of model responses.

  • Type: Full-time or Part-time Contract Work
  • Compensation: $45/hour
  • Location: Geography restricted to US, UK, Canada (Remote)

Role Responsibilities

  • Evaluate LLM-generated responses on their ability to effectively answer user queries.
  • Conduct fact-checking using trusted public sources and external tools.
  • Generate high-quality human evaluation data by annotating response strengths, areas for improvement, and factual inaccuracies.
  • Assess reasoning quality, clarity, tone, and completeness of responses.
  • Ensure model responses align with expected conversational behavior and system guidelines.
  • Apply consistent annotations by following clear taxonomies, benchmarks, and detailed evaluation guidelines.

Qualifications

Must-Have
  • Bachelor’s degree
  • Significant experience using large language models (LLMs)
  • Excellent writing skills
  • Strong attention to detail
  • Adaptable and comfortable moving across topics, domains, and customer requirements
  • Background or experience in domains requiring structured analytical thinking
  • Excellent college-level mathematics skills

Preferred
  • Prior experience with RLHF, model evaluation, or data annotation work
  • Experience writing or editing high-quality written content
  • Experience comparing multiple outputs and making fine-grained qualitative judgments
  • Familiarity with evaluation rubrics, benchmarks, or quality scoring systems

Application Process

The application process takes approximately 20-30 minutes to complete and includes the following steps:

  • Upload resume
  • AI interview based on your resume
  • Submit form

For details about the interview process and platform information, please check: Mercor Talent Docs. For any help or support, reach out to: support@mercor.com.

Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Key skills/competency

  • LLM Evaluation
  • Fact-Checking
  • Data Annotation
  • Analytical Thinking
  • Writing Skills
  • Attention to Detail
  • Conversational AI
  • Quality Assessment
  • Taxonomy Adherence
  • Mathematics Skills

Tags:

LLM evaluation
fact-checking
data annotation
analytical thinking
writing skills
quality assessment
content evaluation
response analysis
conversational AI
guideline adherence
Large Language Models
AI
Machine Learning
Natural Language Processing
RLHF
Deep Learning
Data Science
Prompt Engineering
AI ethics
Evaluation platforms

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How to Get Hired at Mercor

  • Research Mercor's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Customize your resume to highlight significant LLM experience, strong analytical thinking, and excellent writing skills, addressing the Conversational AI Assessor requirements.
  • Prepare for the AI interview: Familiarize yourself with common AI interview platforms and practice articulating your experience in LLM evaluation, data annotation, and adherence to guidelines, using Mercor's talent docs.
  • Showcase analytical prowess: Emphasize your ability to perform structured analytical thinking and your college-level mathematics skills, as these are critical for assessing AI model responses.
  • Demonstrate domain adaptability: Highlight experiences where you've successfully navigated diverse topics and requirements, showcasing your versatility for this dynamic role.

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