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Machine Learning and NLP Practitioner for AI Model Evaluation
- United States
- United States
Über
Key Responsibilities
Task design and development:
Create challenging, real-world ML and NLP problems from your area of expertise, targeting specific capability gaps in a frontier AI model. Spec and golden-solution generation:
Prepare all necessary components for the problems in an agentic development environment using Python. Evaluation and analysis:
Assess the target model''s performance on your tasks. Headroom identification:
Identify and classify tasks where the target model fails. Collaborate with other experts:
Work with fellow subject-matter experts to ensure consistent and accurate evaluations. Core Qualifications
Deep, hands-on experience in machine learning and/or natural language processing, gained through applied industry work, research, or a graduate/PhD background. Working proficiency in Python, applied in research, industry, or open-source projects. Strong command of modern ML/NLP methods, including model training and evaluation, transformers, large language models, and standard tooling. Availability to engage for approximately 20 hours per week. Preferred experience in AI training, model evaluation, or data annotation. Strong written communication skills and the ability to work independently while managing your own time. Work Terms
This is a part-time W-2 employment position with Cincinnatus LLC, offering the opportunity to work remotely within the United States. Compensation
Hourly compensation ranges from $80 to $110. Eligibility
This role is open to candidates located in the United States.
Sprachkenntnisse
- English
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