
location_onRace Street Meetinghouse, 1501, Cherry Street, Logan Square, Center City, Philadelphia, Philadelphia County, Pennsylvania, 19103, United States
We are partnering with a global digital transformation team supporting next-generation AI initiatives for a major enterprise technology program. This group is dedicated to evolving how large-scale organizations deploy and refine production-bound machine learning solutions.
This part-time consulting opportunity is designed for an early-career AI/ML engineer seeking hands-on experience with real-world model evaluation and LLM development workflows. You will work directly alongside a senior AI architect to validate model accuracy, support training workflows, and contribute to the refinement of enterprise-scale applied AI systems.
The role offers a flexible, fully remote schedule of approximately 20 hours per week. It serves as an excellent platform to gain exposure to high-visibility enterprise AI development, working with structured and unstructured datasets while collaborating with senior engineers on iterative model tuning and deployment readiness.
To apply, click the "Quick Apply" button and submit your resume. Candidates will be reviewed for fit based on their professional experience in validating accuracy and training models.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity. All qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, genetic information, or any other basis protected by applicable federal, state, or local laws. Jobot prohibits harassment based on these protected categories and complies with all applicable laws regarding criminal background checks and unemployment status considerations.
Work model: Remote
Race Street Meetinghouse, 1501, Cherry Street, Logan Square, Center City, Philadelphia, Philadelphia County, Pennsylvania, 19103, United States
Philadelphia, Pennsylvania
Experience supporting prompt engineering or RAG-style workflows. Exposure to model fine-tuning or dataset optimization techniques. Familiarity with evaluation tooling for LLM accuracy and hallucination detection. Experience working alongside senior architects or research teams. Background supporting enterprise AI initiatives or production-bound experimentation.