Data Annotator @ Crossing Hurdles
placeHybrid
attach_money $93,600
businessHybrid
scheduleContractor
Posted 13 hours ago
Your Application Journey
Interview
Email Hiring Manager
***** @crossinghurdles.com
Recommended after applying
Job Details
Overview
Crossing Hurdles is a recruitment firm referring top candidates to leading AI research labs. The role is for a Data Annotator, working on training and evaluation of AI systems.
Position Details
Title: Data Annotator Expert / Tool Use Expert - AI Trainer
Type: Hourly Contract (Remote)
Compensation: $45/hr
Location: Remote
Duration: Flexible (10–40 hrs/week, 1-2 months, extension feasible)
Requirements
- Excellent written communication with clear reference to rubrics.
- Meticulous attention to detail and independent work capability.
- Nice to have: familiarity with annotation tools, basic scripting (Python/SQL), and multilingual skills.
Key Responsibilities
- Review model interaction logs for search tool invocation decisions.
- Evaluate rewritten queries for clarity, specificity, and fidelity.
- Provide concise, evidence-based rationales tied to rubric criteria.
- Score query quality including intent capture and keyword selection.
- Calibrate against gold examples and propose improvements.
- Track decisions in a task portal maintaining high inter-rater agreement.
- Flag sensitive content per safety guidelines.
Application Process
- Upload resume.
- Participate in a 10-minute AI interview.
- Submit the application form.
Key skills/competency
- Annotation
- AI
- Evaluation
- Rubric
- Detail
- Python
- SQL
- Tool Use
- Communication
- Remote
How to Get Hired at Crossing Hurdles
🎯 Tips for Getting Hired
- Customize your resume: Tailor skills and experience to AI roles.
- Highlight attention detail: Emphasize precise annotation experience.
- Show technical skills: Include any Python/SQL or similar experience.
- Prepare for AI interviews: Review rubric and tool-use examples.
📝 Interview Preparation Advice
Technical Preparation
circle
Review annotation software and tool guides.
circle
Brush up on basic Python and SQL scripts.
circle
Study rubric and evaluation criteria details.
circle
Practice working with digital footprint logs.
Behavioral Questions
circle
Describe your independent work style.
circle
Explain handling ambiguous instructions effectively.
circle
Give examples of detailed communication.
circle
Discuss time management under flexible hours.
Frequently Asked Questions
What does Crossing Hurdles look for in a Data Annotator?
keyboard_arrow_down
How should a candidate prepare for the AI interview at Crossing Hurdles?
keyboard_arrow_down
What is the work environment like for a Data Annotator at Crossing Hurdles?
keyboard_arrow_down