Generative AI Data Analyst - USA (Remote)

RemoteFull timemid

Data AnalystData

0 views0 saves0 applied

Apply Now

Quick Summary

Overview

OVERVIEW We are seeking a Generative AI Analyst to support a high-impact machine learning project. This role focuses on creating high-quality prompts and responses across diverse topics and leading labeling initiatives with internal and external partners.

Key Responsibilities

Creatively writing prompts and responses to a variety of diverse topics Perform LLM annotation and evaluation tasks (ranking, scoring, labeling, tagging) Evaluate model outputs for accuracy, relevance, and instruction-following Identify and document…

Requirements Summary

Hands-on experience performing data annotation or evaluation tasks (e.g., labeling, ranking, scoring, or tagging LLM outputs) Native or near-native English with excellent writing skills Strong attention to detail and ability to follow guidelines…

Technical Tools

machine-learning

We are seeking a Generative AI Analyst to support a high-impact machine learning project. This role focuses on creating high-quality prompts and responses across diverse topics and leading labeling initiatives with internal and external partners. The ideal candidate is a strong communicator with native-level U.S. English, experienced in working with data and comfortable training teams on best practices for LLM development. This position is fully remote and suited for someone motivated to work with cutting-edge AI technologies.

Job Title: Generative AI Analyst
Location: Remote
Hours: 40 hours weekly
Language: English (US)
Start date: April 2026
Employment Type: Full-time W-2 employee with benefits – 5 days a week

Pay rate: $27.38/hour
If you reside in California, please apply to the California-specific posting for the applicable rate

Must have valid work authorization in the US (Welo Data does not sponsor VISAs at this time).

Responsibilities

~1 min read

→Creatively writing prompts and responses to a variety of diverse topics
→Perform LLM annotation and evaluation tasks (ranking, scoring, labeling, tagging)
→Evaluate model outputs for accuracy, relevance, and instruction-following
→Identify and document issues such as hallucinations and inconsistencies
→Participating in and/or supporting labeling workflows, including hands-on annotation and collaboration with internal or external teams
→Training teams on best practices for creating Large Language Models/Data sets

Requirements

~1 min read

Hands-on experience performing data annotation or evaluation tasks (e.g., labeling, ranking, scoring, or tagging LLM outputs)
Native or near-native English with excellent writing skills
Strong attention to detail and ability to follow guidelines consistently
Self-driven, motivated and enthusiastic to work on state-of-art machine learning tools
4 year Accredited College degree or equivalent experience

College Degree or experience in Linguistics, English Literature, Creative Writing, Journalism, and domain knowledge (Law/Medical/Math/Coding/etc.)
Experience working in annotation platforms or structured labeling environments is a plus
Deep understanding of Large Language Models/RLHF
Experience in labeling/tagging of frames/tasks/prompts to prepare for DNN
QA/testing experience

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.

APPLY