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Full Time Ai Language Trainer Jobs (NOW HIRING)

Unconventional AI

AI Systems, Training

Unconventional AI is a pioneering company focused on revolutionizing computing to meet the ... language, and world models. • Design and scale multi-node distributed training systems ...

Weekday AI

Biology Expert (PhD) - AI Trainer

$100/hr

In this role, you will help develop and evaluate advanced AI systems designed to replicate real ... Support data generation and evaluation processes to improve next-generation large language models ...

Mistral AI

AI Scientist

New York, NY · On-site

Research and develop innovative methods to advance the frontier of large language models. * Build tooling and infrastructure to enable large-scale training, evaluation, and analysis of AI models.

Hume AI

AI Researcher

San Jose, CA · On-site +1

$180K - $350K/yr

Hume AI is seeking talented AI researchers interested in working with our team to build state-of-the-art speech-language models (SLMs). Our new SLM training method-reinforcement learning from human ...

Welo Data

German Language Speaker

Charleston, WV

$34/hr

Help train AI to understand your language better * Be part of a world-class, tech-forward team on a ... Benefits * $34 per hour, W2 full-time * Medical, dental & vision insurance

Welo Data

German Language Speaker

Charleston, WV

$38/hr

Help train AI to understand your language better * Be part of a world-class, tech-forward team on a ... Benefits * $38 per hour, W2 full-time * Medical, dental & vision insurance

ProSidian Consulting

NC · On-site

... a Full-Time ProSidian employed W-2 Position. JOB OVERVIEW Provide services and support as a ... OPSEC Training and Cyber Awareness Training (formerly IA/IT). * Privacy Training certification.

Leaping AI

AI Deployment Strategist

San Francisco, CA · On-site

$143K - $185K/yr

Required : • 2+ years of full-time work experience (post-college) in a business role (consulting ... language mastery is a must • Great communication skills • Willingness to travel often within ...

CaptionCall

Sign Language Specialist

Salt Lake City, UT · On-site

$27.74 - $46.30/hr

Review ASL content for training applicability * Transcribe ASL content to English * Annotate sign ... Validate AI-generated sign output for linguistic correctness, naturalness, and cultural ...

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Full Time Ai Language Trainer information

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How much do full time ai language trainer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for full time ai language trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

What is the difference between Full Time Ai Language Trainer vs Part Time Ai Language Tutor?

AspectFull Time Ai Language TrainerPart Time Ai Language Tutor
CredentialsTypically requires a degree in linguistics, education, or related field; certifications in language teaching or AI toolsMay have similar credentials but often less formal or fewer certifications
Work EnvironmentFull-time employment, often in corporate training centers or online platformsPart-time, often freelance or on-demand online sessions
Employer & Industry UsageUsed by educational institutions, tech companies, and online training platformsCommonly used by individual tutors, online marketplaces, and freelance platforms

In summary, a Full Time Ai Language Trainer typically works full-time in structured environments with formal credentials, while a Part Time Ai Language Tutor operates on a flexible schedule, often independently, with similar but sometimes fewer qualifications.

What are some common challenges faced by full time AI language trainers, and how can they be addressed?

Full Time AI Language Trainers often encounter challenges such as maintaining data quality, staying updated with evolving language models, and managing large volumes of diverse training data. To address these, trainers typically collaborate closely with data scientists and engineers, utilize annotation tools to streamline workflows, and participate in regular team meetings to share best practices. Continuous learning and adapting to new technologies are also essential to ensure the AI models remain accurate and effective.

What are the key skills and qualifications needed to thrive as a full time AI language trainer, and why are they important?

To thrive as a Full Time AI Language Trainer, you need strong linguistic expertise, analytical thinking, and a background in language or computational linguistics, often supported by a relevant degree. Familiarity with annotation tools, data labeling platforms, and machine learning systems is typically required, along with experience using productivity software. Excellent attention to detail, effective communication, and adaptability are valuable soft skills for collaborating with engineering teams and refining AI outputs. These skills and qualities ensure the creation of accurate, high-quality language data sets that directly impact the performance and reliability of AI language models.

What does a full time AI language trainer do?

A Full Time AI Language Trainer is responsible for teaching, training, and refining artificial intelligence language models. This involves curating and annotating data, evaluating model outputs, and providing feedback to improve the AI’s understanding of language. Language trainers collaborate with data scientists and engineers to develop algorithms and processes that enhance natural language processing capabilities. Their work helps ensure AI systems generate more accurate, contextually relevant, and ethical language responses.
More about Full Time Ai Language Trainer jobs
What are the most commonly searched types of Ai Language Trainer jobs? The most popular types of Ai Language Trainer jobs are:
What job categories do people searching Full Time Ai Language Trainer jobs look for? The top searched job categories for Full Time Ai Language Trainer jobs are:
Full Time Ai Language Trainer jobs near you
Infographic showing various Full Time Ai Language Trainer job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

AI Systems, Training

Unconventional AI

Remote

Full-time

Re-posted 10 hours ago

Job description

Job Summary:
Unconventional AI is a pioneering company focused on revolutionizing computing to meet the unprecedented demand for AI. The role involves building a next-generation ML model training platform and optimizing training systems for advanced AI models and hardware platforms.
Responsibilities:
• Build and maintain highly optimized, model-specific training stacks specifically tuned for state-of-the-art generative vision, language, and world models.
• Design and scale multi-node distributed training systems, implementing elastic sharding and robust data streaming pipelines for fast, large-scale iteration.
• Implement and robust model checkpointing and recovery mechanisms.
• Develop and optimize kernels using low-level programming models like CUDA and Triton.
• Design rigorous benchmarking suites to track Model Flops Utilization (MFU), memory bandwidth, and convergence stability.
• Act as a translator, discussing algorithmic trade-offs with theorists and converting model requirements into concrete specifications for infrastructure and hardware engineering teams.
Qualifications:
Required:
• An MS/PhD or equivalent research/project experience in a quantitative field such as AI/Machine Learning, Computer Science, Physics, Electrical Engineering, or Applied Math.
• Veteran of the modern ML software stack. Demonstrated ability to map state-of-the-art AI model architectures (e.g., transformers, Mixture of Experts, diffusion models) to system performance implication.
• Deep expertise in how models are partitioned across a cluster, with a mastery of communication primitives, and parallelism strategies.
• Proven track record of implementing, debugging, and maintaining production-grade training frameworks—such as Megatron-LM, DeepSpeed, Ray, PyTorch Lightning—turning raw compute into a reliable model-building factory.
Preferred:
• A forward-looking perspective on co-designing algorithms for unconventional computing paradigms that map closely to the physics of underlying systems.
Company:
Unconventional AI rethinks computer foundations to optimize energy efficiency for AI. Founded in 2025, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.

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