H

Machine Learning / NLP Expert - GenAI Frontier Models (Part-time, Remote)

hackajob • India
Remote
This Job is No Longer Active This position is no longer accepting applications

Join a leading AI lab's GenAI team as a ground-truth expert to evaluate frontier AI models. Design real-world ML/NLP tasks, generate reference solutions, and analyze model outputs. Requires Python proficiency, deep ML/NLP experience, and ability to work ~20 hours/week remotely.

Key Highlights
Act as a ground-truth expert for frontier AI models.
Design and develop challenging ML/NLP tasks and reference solutions.
Evaluate model performance and identify capability gaps.
Key Responsibilities
Design challenging, real-world ML and NLP problems targeting specific capability gaps in a frontier AI model.
Integrate problems into an agentic development environment, preparing all necessary components using Python.
Evaluate the target model's performance on your tasks.
Identify tasks where the target model fails and classify the nature of the failure.
Work alongside fellow subject-matter experts to keep evaluations consistent and accurate.
Technical Skills Required
Python Machine Learning Natural Language Processing
Benefits & Perks
W-2 employment
Fully remote within the United States
Part-time (~20 hours per week)
Nice to Have
Past experience in AI training, model evaluation, or data annotation.

Job Description

hackajob is collaborating with Mercor to connect them with exceptional professionals for this role.Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models.** ## 1\. Overview A leading AI lab is building and evaluating frontier models and needs experienced machine learning and natural language processing practitioners to act as ground-truth experts. You will author challenging, real-world tasks, generate reference solutions, and evaluate model outputs to surface reasoning and capability gaps in a target model. The work centers on designing robust ML and NLP problems, building them out wit...

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