Machine Learning & NLP Expert
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 14h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 48d ago
The date the source published, not the day we noticed it (2026-07-29). Last seen at its source 3h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay
$80–110/hr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 10d ago · last seen 3h ago
The listing
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.