Data Analytics Specialist @ Call For Referral
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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.