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Nlp Trainer Jobs (NOW HIRING)

Machine Intelligence Technologies, LLC

$125 - $150/hr

Conversational AI, NLP, LLMs, Generative AI, Prompt engineering, Data analysis Responsibilities ... Participate in code reviews and provide constructive feedback to peers. * Assist in the training ...

Triwill Group

$100 - $125/hr

Our partner is looking for a Instructor, AI/Machine Learning - NLP & Audio Analytics, Simplilearn ... their training journey. The position offers the opportunity to share industry experience while ...

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Stellar Professionals LLC

AI Trainer

Raleigh, NC · On-site

$31.50 - $42/hr

We are seeking an experienced AI Trainer to design, develop, and deliver comprehensive training ... Solid understanding of Machine Learning, Natural Language Processing (NLP), Computer Vision, and ...

Revature LLC

WI · On-site

$100 - $125/hr

The role is for a Senior Trainer - Artificial Intelligence & Machine Learning to deliver our ... Core AI/ML concepts: supervised & unsupervised learning, deep learning, and NLP. * Large Language ...

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How much do nlp trainer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for nlp trainer in the United States is $26.18, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $29.57 per hour, depending on experience, location, and employer.

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Infographic showing various Nlp Trainer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $54,463 per year, or $26.2 per hour.

Machine Learning Engineer - Computer Vision & NLP

Los Angeles, CA • On-site

Voxelcloud
Medical Equipment and Supplies Manufacturing • 11 - 50 employees
Learn more about Voxelcloudexternal

$123K - $148K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 hours ago

Job description

Company Description
Founded in 2016, VoxelCloud is a Los Angeles-based leader worldwide in artificial intelligence (AI) analysis of medical images. Backed by Sequoia and Tencent. We help healthcare providers make better/earlier diagnoses and other clinical decisions. http://www.voxelcloud.ai
Job Description
The R&D team (located in Los Angeles, CA) is involved with creating innovative solutions using deep learning tailored to the needs of the product lines (Thorax/Retina/Cardio/Skin). We are currently hiring a full-time engineerto join our model team.
Responsibilities:
  • Develop deep learning models for prototyping and production purposes according to product feature request
  • Design, implement and test model experiments using major deep learning frameworks
  • Document experiments findings and results with supporting summary statistics for peer discussion and review (Confluence)
  • Provide insights to data collection and annotation and collaborate with the data team for in-house data management and labelling
  • Write production and deployment code (dockerization), iterate deployed models for optimal performance and inference speed
  • Conduct methodology research in deep learning to drive scalable, real-time implementation

Qualifications
Basic Qualifications
  • MS degree in computer science, engineering, or mathematics
  • 1+ years of relevant experience in building deep learning solutions for computer vision problems
  • 1+ years of relevant experience in building deep learning solutions for NLP problems
  • Proficient with at least one major deep learning framework, preferably TensorFlow/Pytorch
  • Proficient in Python
  • Good CS fundamentals in data structures and algorithm
  • Detail-oriented, well organized and self-motivated with a continuous drive to learn, explore and be challenged
  • Work well in teams and communicate ideas clearly

Preferred Qualifications
  • PhD degree in computer science, engineering, or mathematics
  • 3+ years of relevant experience in building deep learning solutions for computer vision problems
  • 2+ years of relevant experience in building deep learning solutions for NLP problems
  • Hands-on experience with Transformers, Bert, and other advanced NLP models
  • Hands-on experience with state-of-the-art object detection, semantic segmentation, and image classification models
  • Track record of publications in CV and NLP is a plus
  • Hands-on experience with model optimization (e.g., network quantization and half-precision training) is a plus
  • Prior experience with medial images is a plus
  • Prior experience with medial report mining is a BIG plus

Additional Information
We Offer...
  • An outstanding start-up culture;
  • Transparent, collaborative work environment;
  • Competitive compensation
  • Excellent Medical, Dental, and Vision coverage
  • 401k, paid Vacation and Holiday

All your information will be kept confidential according to EEO guidelines.
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