Freelance Generalist (United States, Remote)

Role Overview

You will operate as a remote freelance generalist supporting multiple workstreams that connect product delivery with AI/ML training workflows. The role blends execution, coordination, and quality control—helping teams maintain training data quality, follow annotation guidelines compliance, and drive model performance improvement.

Responsibilities

• Cross-functional work coordination across engineering, data operations, and vendor partners in a remote environment
• Support LLM training pipelines by organizing, triaging, and validating training datasets and labeling outputs
• QA evaluation on labeled data, prompt evaluation results, and RLHF preference data to ensure consistency
• Enforce annotation guidelines compliance and contribute to guideline updates based on observed edge cases
• Support NLP tasks such as named entity recognition and taxonomy mapping; support CV tasks such as bounding boxes and segmentation review
• Contribute to content safety labeling workflows, including policy-based checks and escalation of ambiguous cases
• Track operational metrics (throughput, accuracy, rework) and propose process improvements
• Maintain clear documentation, handoffs, and status updates for distributed teams

Qualifications

• Mid-Senior experience in operations, program coordination, or delivery roles supporting technical teams
• Familiarity with AI/ML data workflows (data labeling, QA evaluation, prompt evaluation, RLHF) and quality frameworks
• Strong written communication and documentation skills for remote stakeholders
• Comfort working across multiple domains (NLP, computer vision annotation, content safety)
• Ability to reason about edge cases, ambiguity, and guideline interpretation

How To Apply

Apply on Rex.zone with a resume highlighting operations ownership, remote delivery, and any AI/ML data or evaluation experience. Pay range: $30–$50 per hour.