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. 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. Project Details 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). 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 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 - 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 Ways to stand out from the crowd: - 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.

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. 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. Project Details 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: $36/hour Must have valid work authorization in the US (Welo Data does not sponsor VISAs at this time). 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 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: - 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 Ways to stand out from the crowd: - 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.

• Partner with Product Owners and Data Teams. • Control and monitor Marketing and Product metrics in Mixpanel and Tableau. • Create new reports and collaborate with product owners and developers to maintain high-quality event tracking by aligning on event naming and mapping standards for new features and A/B tests. • Identify trends, patterns, and anomalies in data to support business insights. • Use SQL to get and analyse data for reports and team requests. • Collaborate closely with the data team to ensure consistency in reporting and data quality across the organisation.

• Partner with Product Owners and Data Teams. • Control and monitor Marketing and Product metrics in Mixpanel and Tableau. • Create new reports and collaborate with product owners and developers to maintain high-quality event tracking by aligning on event naming and mapping standards for new features and A/B tests. • Identify trends, patterns, and anomalies in data to support business insights. • Use SQL to get and analyse data for reports and team requests. • Collaborate closely with the data team to ensure consistency in reporting and data quality across the organisation.