The job, in the employer's words
This role is for one of our clients
Compensation: $80-$110 per hour
Join a cutting-edge AI research initiative and help shape the next generation of frontier AI models. We are seeking experienced Machine Learning & NLP Experts to contribute their technical expertise toward training and evaluating advanced AI systems. In this role, you will design challenging, real-world machine learning and natural language processing tasks, create high-quality reference solutions, and assess AI model performance to identify reasoning gaps and improve overall capabilities.
This is a part-time, fully remote opportunity requiring approximately 20 hours per week.
Requirements
Key Responsibilities
- Design challenging, real-world machine learning and natural language processing tasks covering areas such as:
- Machine Learning Model Development and Evaluation
- Natural Language Understanding (NLU)
- Natural Language Generation (NLG)
- Information Retrieval and Search
- Applied Machine Learning Pipelines
- Transformer Models and Large Language Models (LLMs)
- Develop accurate reference solutions and integrate tasks into agentic development environments using Python.
- Build executable evaluation frameworks and testing components where appropriate.
- Evaluate AI model outputs for technical correctness, reasoning quality, and overall performance.
- Identify capability gaps, classify model failure modes, and provide detailed written analyses.
- Create and refine evaluation guidelines, scoring rubrics, and quality standards for ML and NLP tasks.
- Collaborate with fellow subject matter experts to ensure consistency, accuracy, and high-quality training data.
Required Qualifications
- Deep hands-on experience in Machine Learning and/or Natural Language Processing through industry, research, or graduate/PhD-level work.
- Strong proficiency in Python with practical experience developing ML or NLP applications.
- Strong understanding of modern machine learning techniques, including:
- Model Training and Evaluation
- Transformer Architectures
- Large Language Models (LLMs)
- NLP Pipelines
- Feature Engineering and Model Optimization
- Experience with industry-standard frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, or equivalent.
- Ability to commit approximately 20 hours per week.
- Excellent written communication skills and the ability to work independently in a remote environment.
Preferred Qualifications
- Experience in AI model evaluation, AI training data creation, or human-in-the-loop model assessment.
- Familiarity with Retrieval-Augmented Generation (RAG), vector databases, embedding models, or multimodal AI systems.
- Experience building benchmarking frameworks, automated evaluation pipelines, or testing infrastructure.
- Contributions to open-source ML/NLP projects or published research are a plus.
- Experience working with production-scale machine learning systems.
Role Details
- Employment Type: Independent Contractor
- Work Arrangement: Fully Remote
- Schedule: Approximately 20 hours per week
- Project Duration: Based on project requirements and performance, with opportunities for extension
Equal Opportunity
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Contract & Payment Terms
- You will be engaged as an independent contractor.
- This is a fully remote role that can be completed on your own schedule.
- Projects may be extended, shortened, or concluded early depending on business needs and performance.
- Your work will not involve access to confidential or proprietary information from any employer, client, or institution.
- Payments are made weekly via Stripe or Wise based on services rendered.
- Please note: We are unable to support H1-B or STEM OPT candidates at this time.
Benefits mentioned
- Join a cutting-edge AI research initiative and help shape the next generation of frontier AI models. We are seeking experienced Machine Learning & NLP Experts to contribute their technical expertise toward training and evaluating advanced AI systems. In this role, you will design challenging, real-world machine learning and natural language processing tasks, create high-quality reference solutions, and assess AI model performance to identify reasoning gaps and improve overall capabilities.
- This is a part-time, fully remote opportunity requiring approximately 20 hours per week.
Requirements mentioned
- Deep hands-on experience in Machine Learning and/or Natural Language Processing through industry, research, or graduate/PhD-level work.
- Strong proficiency in Python with practical experience developing ML or NLP applications.
- Strong understanding of modern machine learning techniques, including:
- Experience with industry-standard frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, or equivalent.
- Ability to commit approximately 20 hours per week.
- Excellent written communication skills and the ability to work independently in a remote environment.
- Experience in AI model evaluation, AI training data creation, or human-in-the-loop model assessment.
- Familiarity with Retrieval-Augmented Generation (RAG), vector databases, embedding models, or multimodal AI systems.
- Experience building benchmarking frameworks, automated evaluation pipelines, or testing infrastructure.
- Contributions to open-source ML/NLP projects or published research are a plus.
- Experience working with production-scale machine learning systems.
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