.NET Developer - Test Kansas City, MO
ESR Healthcare, Kansas City, MO, United States
Overview
.NET Developer - Test Kansas City, MO
Minimum Commitment: 10 hours/week
About Us
We are at forefront of AI and machine learning, and we’re looking for motivated individuals to contribute to the next generation of intelligent models. The ideal candidate will have experience working with Turing.com and a strong background in data annotation, prompt engineering, and model fine-tuning. You will play a critical role in refining AI systems, providing essential human feedback, and enhancing overall model performance.
Key Qualifications
Experience in RLHF: Deep understanding of Reinforcement Learning (especially RLHF) for LLMs and how it applies to improving AI models.
Hands-on experience in fine-tuning LLMs through iterative human feedback.
Data Expertise: Prior experience in annotating datasets for AI/ML models with a focus on quality control. Experience with annotation tools and platforms like Labelbox, Prodigy, or Turing’s proprietary tools.
Technical Proficiency: Familiarity with LLM frameworks like GPT-3/4, BERT, and advanced NLP models. Strong command of Python, SQL, or related programming languages for handling data processing tasks. Understanding of prompt engineering, and experience with platforms like Hugging Face or LangChain is a plus.
Turing.com Experience: Prior work experience at Turing.com (or similar remote work platforms), with a focus on AI, data annotation, or similar roles. Understanding of the remote work dynamic and experience collaborating with distributed teams.
Preferred Qualifications: Experience in model fine-tuning, prompt engineering, and human-in-the-loop systems. Familiarity with cloud platforms (AWS, Azure) and MLOps best practices. Previous work on reinforcement learning pipelines in large-scale AI projects.
What You’ll Do
You will play a key role in annotating and curating data for the training and fine-tuning of large language models (LLMs), ensuring annotations are accurate, consistent, and project-aligned. You’ll implement Reinforcement Learning with Human Feedback (RLHF) techniques, providing structured human feedback to guide model outputs and continuously fine-tune models to improve performance.
Why You Should Apply
Flexible without any restrictions, opportunity – work whenever it fits your schedule!
Remote – work from anywhere in India!
Competitive pay – starting from $20/hour based on experience and performance
Compensation
Starting at $20 to $35/hour (~Rs. 2200+ per hour). If you work an average of 3 hours a day that could be upwards of Rs 1.5L per month. If you work an average of 8 hours a day that could be upwards of Rs 3.5L per month.
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.NET Developer - Test Kansas City, MO
Minimum Commitment: 10 hours/week
About Us
We are at forefront of AI and machine learning, and we’re looking for motivated individuals to contribute to the next generation of intelligent models. The ideal candidate will have experience working with Turing.com and a strong background in data annotation, prompt engineering, and model fine-tuning. You will play a critical role in refining AI systems, providing essential human feedback, and enhancing overall model performance.
Key Qualifications
Experience in RLHF: Deep understanding of Reinforcement Learning (especially RLHF) for LLMs and how it applies to improving AI models.
Hands-on experience in fine-tuning LLMs through iterative human feedback.
Data Expertise: Prior experience in annotating datasets for AI/ML models with a focus on quality control. Experience with annotation tools and platforms like Labelbox, Prodigy, or Turing’s proprietary tools.
Technical Proficiency: Familiarity with LLM frameworks like GPT-3/4, BERT, and advanced NLP models. Strong command of Python, SQL, or related programming languages for handling data processing tasks. Understanding of prompt engineering, and experience with platforms like Hugging Face or LangChain is a plus.
Turing.com Experience: Prior work experience at Turing.com (or similar remote work platforms), with a focus on AI, data annotation, or similar roles. Understanding of the remote work dynamic and experience collaborating with distributed teams.
Preferred Qualifications: Experience in model fine-tuning, prompt engineering, and human-in-the-loop systems. Familiarity with cloud platforms (AWS, Azure) and MLOps best practices. Previous work on reinforcement learning pipelines in large-scale AI projects.
What You’ll Do
You will play a key role in annotating and curating data for the training and fine-tuning of large language models (LLMs), ensuring annotations are accurate, consistent, and project-aligned. You’ll implement Reinforcement Learning with Human Feedback (RLHF) techniques, providing structured human feedback to guide model outputs and continuously fine-tune models to improve performance.
Why You Should Apply
Flexible without any restrictions, opportunity – work whenever it fits your schedule!
Remote – work from anywhere in India!
Competitive pay – starting from $20/hour based on experience and performance
Compensation
Starting at $20 to $35/hour (~Rs. 2200+ per hour). If you work an average of 3 hours a day that could be upwards of Rs 1.5L per month. If you work an average of 8 hours a day that could be upwards of Rs 3.5L per month.
#J-18808-Ljbffr