Entry Level STEM Jobs United States

Entry Level STEM Jobs United States (Remote, US)

Support AI/ML engineering-adjacent workflows that improve LLM training pipelines through high-quality data labeling, RLHF-style evaluation, QA evaluation, and prompt evaluation. You will apply annotation guidelines compliance and structured documentation to strengthen training data quality and model performance.

What You Will Do

* Execute data labeling across text, image, and multimodal datasets

* Perform QA evaluation using sampling plans, disagreement analysis, and error taxonomies

* Complete RLHF preference ranking and prompt evaluation aligned to rubrics

* Annotate NLP tasks (e.g., named entity recognition, intent classification) with consistent schemas

* Support computer vision annotation (bounding boxes, segmentation) as needed

* Apply content safety labeling policies for harmful or sensitive content

* Document edge cases and provide rationales to improve guidelines and training data quality

* Collaborate asynchronously with distributed engineering and ops partners

Required Qualifications

* US-based and available for remote, full-time work

* STEM background (degree, bootcamp, or equivalent experience) and quantitative reasoning

* Ability to learn and follow detailed annotation guidelines

* Strong written communication and attention to detail

* Familiarity with spreadsheets and basic Python or SQL for lightweight data checks

Preferred Qualifications

* Experience with LLM evaluation, RLHF, or prompt evaluation

* Exposure to NLP and/or computer vision annotation tools

* Understanding of content safety labeling and policy interpretation

* Experience with training data quality metrics or inter-annotator agreement

Compensation

Hourly base pay range: $30–$50/hr.

How To Apply

Apply via Rex.zone and highlight STEM projects, Python/SQL, and any experience with data labeling, QA evaluation, RLHF, prompt evaluation, or annotation guidelines compliance.