9 days ago

Senior English LLM Data Annotation Specialist

T-Maxx International

Hybrid
Contractor
£70,000
Hybrid

Job Overview

Job TitleSenior English LLM Data Annotation Specialist
Job TypeContractor
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary£70,000
LocationHybrid

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Job Description

About the Role

We’re building a T-Maxx International expert group to shape and improve cutting-edge AI models. If you’re a native-level English speaker with strong judgment, you’ll complete a short skills test and, if successful, join T-Maxx International’s paid expert network to work on high-impact AI evaluation tasks.

We are looking for a Senior English LLM Data Annotation Specialist (1+ year experience preferred).

Type: ContractLocation: Remote, long-term UK-basedCommitment: 20+ hours/week

Application Process

  • Click Apply to complete the short information form
  • Complete a brief qualification task if requested (sent via email after we receive your form)
  • Follow up within 1-2 weeks with the next steps.

Role Responsibilities

  • Interpret user prompts to identify underlying intent, goals, and expected model capabilities.
  • Apply detailed annotation guidelines while exercising strong linguistic and contextual judgment in complex or ambiguous cases.
  • Compare, evaluate, and annotate responses from multiple LLMs, assessing whether outputs meet user needs and identifying gaps or weaknesses, in accordance with established evaluation frameworks and quality standards.
  • Classify model responses by intent and task type to support structured analysis and model performance insights.
  • Perform detailed quality reviews of annotated outputs, ensuring scoring consistency, labeling accuracy, and alignment with evaluation guidelines.
  • Participate in disagreement analysis (diff review) and feedback loops to improve evaluation consistency and overall data quality.
  • Manage tasks independently with flexibility, meeting accuracy and delivery expectations across multiple assignments.
  • Collaborate with the POC on task guidance and ramp-up for each assignment.

Qualifications Must-Have

  • Native in English.
  • Strong reading comprehension and attention to detail.
  • Ability to interpret complex guidelines and make well-reasoned quality judgments independently.
  • Familiarity with LLMs, chatbots, or AI-generated content; experience with model evaluation or comparison is a plus.
  • 1+ year experience in data annotation, AI evaluation, content review, QA, or related roles is preferred.

Compensation & Legal

  • Competitive hourly rates, adjusted for geography.
  • Classified as an independent contractor.

PS: Our team reviews applications daily. Please complete your application steps to be considered for this opportunity.

Key skills/competency

  • LLM Evaluation
  • Data Annotation
  • Linguistic Judgment
  • AI Models
  • Quality Assurance
  • Content Review
  • Prompt Interpretation
  • Feedback Loops
  • Annotation Guidelines
  • Remote Task Management

Tags:

Senior Data Annotation Specialist
data annotation
LLM evaluation
AI models
linguistic judgment
quality review
content classification
guideline interpretation
feedback loops
prompt interpretation
task management
LLM
AI
chatbots
machine learning
NLP
data analysis
quality assurance
evaluation frameworks
generative AI
model comparison

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How to Get Hired at T-Maxx International

  • Research T-Maxx International's vision: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Highlight LLM expertise: Customize your resume to showcase data annotation, AI evaluation, or content review skills relevant to LLMs.
  • Ace the qualification task: Demonstrate strong English proficiency, attention to detail, and guideline interpretation during the skills assessment.
  • Showcase remote work readiness: Emphasize independent task management, flexibility, and consistent delivery in a remote setting.
  • Network effectively: Connect with T-Maxx International professionals on LinkedIn to gain insights into their team and projects.

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