Data Analytics Specialist
@ Call For Referral

Hybrid
$41,600
Hybrid
Contractor
Posted 24 days ago

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Job Details

About Data Analytics Specialist

A leading AI research initiative is seeking detail-oriented generalists to contribute to a large-scale project focused on improving data quality and reasoning capabilities in advanced AI systems.

Role Overview

As a Data Analytics Specialist, you will analyze, categorize, and label datasets across multiple domains. This role is ideal for analytical thinkers who enjoy bringing order and clarity to complex information.

Key Responsibilities

  • Synthesize and structure large volumes of text, image, and multimodal data.
  • Annotate and categorize content according to detailed rubrics and taxonomies.
  • Identify and flag inconsistencies, ambiguities, or edge cases in datasets.
  • Apply critical thinking to ensure contextual accuracy and labeling consistency.
  • Collaborate asynchronously with researchers and data teams to refine labeling standards.

Ideal Qualifications

  • Based in the United States (required).
  • Exceptional ability to synthesize complex information into structured outputs.
  • Strong written communication and organizational skills.
  • Prior experience with annotation frameworks, taxonomies, or rubric-based data labeling preferred (not required).
  • Comfortable working independently on repetitive but intellectually precise tasks.

Project Details

Start Date: Immediate Duration: Through December (potential for extension) Commitment: ~20 hours/week Schedule: Fully remote and asynchronous — work on your own time

Compensation & Contract

Hourly Rate: $40/hour (USD) Contract Type: Independent contractor Payments: Weekly via Stripe Connect

Application Process

Submit your resume and complete the Preference Selection Calibration Assessment (instructions provided after applying). Typical response time is 3–5 business days.

Key skills/competency

Data annotation, Synthesis, Categorization, Labeling, Analysis, Critical thinking, Rubrics, Asynchronous, Communication, Organization

How to Get Hired at Call For Referral

🎯 Tips for Getting Hired

  • Customize Resume: Highlight data analytics and labeling skills.
  • Showcase Projects: Include relevant AI research or data annotation work.
  • Prepare Examples: Demonstrate your structured data expertise.
  • Follow Application Instructions: Complete assessments accurately.

📝 Interview Preparation Advice

Technical Preparation

Review data annotation frameworks.
Practice dataset labeling exercises.
Study rubric-based classification systems.
Familiarize with data quality tools.

Behavioral Questions

Describe problem-solving approaches in data tasks.
Explain managing repetitive tasks independently.
Discuss handling ambiguous data situations.
Share collaboration experience in remote settings.

Frequently Asked Questions