C
Gen AI Engineer | Remote | $30-$60/hr
Codefeast
2 hours ago
Full-time
On-site
East New York, New York, United States
Generative AI Engineer – LLM Training & Evaluation
Experience:
2–8 Years Job Type:
Contractor Location:
Remote Compensation:
$30–$60/hour Role Overview Contribute directly to
LLM and Generative AI training and evaluation workflows
across complex reasoning and application scenarios. Develop and evaluate
prompts, AI workflows, model outputs, RAG systems, and AI-generated solutions
for quality and reliability. Create and review
training data, evaluation datasets, benchmarks, test cases, and reference responses
for GenAI models. Provide technical feedback to improve
model reasoning, accuracy, instruction following, and real-world AI performance
. Key Requirements 2–8 years
of professional experience in
Generative AI, Machine Learning, NLP, AI Engineering, or related fields
. Strong understanding of
LLMs, prompt engineering, RAG, embeddings, model evaluation, and AI application development
. Hands-on experience with
Python, APIs, LangChain/LangGraph, vector databases, or similar GenAI technologies
. Experience with
LLM training/evaluation workflows, SFT, RLHF, AI agents, or AI-assisted development
is highly preferred.
2–8 Years Job Type:
Contractor Location:
Remote Compensation:
$30–$60/hour Role Overview Contribute directly to
LLM and Generative AI training and evaluation workflows
across complex reasoning and application scenarios. Develop and evaluate
prompts, AI workflows, model outputs, RAG systems, and AI-generated solutions
for quality and reliability. Create and review
training data, evaluation datasets, benchmarks, test cases, and reference responses
for GenAI models. Provide technical feedback to improve
model reasoning, accuracy, instruction following, and real-world AI performance
. Key Requirements 2–8 years
of professional experience in
Generative AI, Machine Learning, NLP, AI Engineering, or related fields
. Strong understanding of
LLMs, prompt engineering, RAG, embeddings, model evaluation, and AI application development
. Hands-on experience with
Python, APIs, LangChain/LangGraph, vector databases, or similar GenAI technologies
. Experience with
LLM training/evaluation workflows, SFT, RLHF, AI agents, or AI-assisted development
is highly preferred.