2

Full Time Ai Language Training Jobs (NOW HIRING)

AI Systems, Training

Palo Alto, CA · On-site

$123K - $168K/yr

Unconventional AI is a company focused on redefining computing to solve the energy limitations of ... language, and world models. • Design and scale multi-node distributed training systems ...

We are seeking a full-time AI/CAD Software Engineer to join our team. You will lead the development ... Architect and maintain robust code for training and serving ML models that predict and optimize RF ...

We are seeking a full-time AI/CAD Software Engineer to join our team. You will lead the development ... Architect and maintain robust code for training and serving ML models that predict and optimize RF ...

We are seeking a full-time AI/CAD Software Engineer to join our team. You will lead the development ... Architect and maintain robust code for training and serving ML models that predict and optimize RF ...

Our team needs a full-time AI/ML Engineer. In this role, you will be responsible for software ... training program measurement • Familiarity with enterprise AI platforms and tooling ecosystems (e ...

AI Researcher - Fury Team

Sunnyvale, CA · On-site

$160K - $400K/yr

Fury enables human operators to command fleets of robots through natural language, and empowers ... or training background, specialized skills, and business needs. Most full-time positions also ...

next page

Showing results 1-20

Full Time Ai Language Training information

See salary details

$32K

$68.7K

$112K

How much do full time ai language training jobs pay per year?

As of Jun 9, 2026, the average yearly pay for full time ai language training in the United States is $68,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $84,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Ai Language Training vs Data Scientist?

AspectFull Time Ai Language TrainingData Scientist
Required CredentialsTypically a degree in computer science, linguistics, or related fields; certifications in AI or machine learningDegree in computer science, statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentTraining centers, online platforms, or corporate training programsOffice settings, research labs, or remote work
Industry UsageUsed by AI companies, educational institutions, and tech firms for language model developmentUsed across industries for data analysis, predictive modeling, and decision-making

Full Time Ai Language Training focuses on teaching AI models to understand and generate human language, often involving training data preparation and model tuning. Data Scientists analyze data to extract insights, build models, and support business decisions. While both roles require technical skills and knowledge of machine learning, Full Time Ai Language Training is centered on model development and training, whereas Data Scientists focus on data analysis and application.

More about Full Time Ai Language Training jobs
What cities are hiring for Full Time Ai Language Training jobs? Cities with the most Full Time Ai Language Training job openings:
What are the most commonly searched types of Ai Language Training jobs? The most popular types of Ai Language Training jobs are:
What states have the most Full Time Ai Language Training jobs? States with the most job openings for Full Time Ai Language Training jobs include:
What job categories do people searching Full Time Ai Language Training jobs look for? The top searched job categories for Full Time Ai Language Training jobs are:
Infographic showing various Full Time Ai Language Training job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $68,682 per year, or $33 per hour.

AI Systems, Training

Unconventional AI

Palo Alto, CA • On-site

$123K - $168K/yr

Full-time

Posted 6 days ago


Job description

Job Summary:
Unconventional AI is a company focused on redefining computing to solve the energy limitations of AI. They are seeking a key contributor to build a next-generation ML model training platform and co-design training systems alongside novel AI models and hardware.
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:
• Education: 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.
• Experience: 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.
• Software Development: 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:
• Unconventional Co-Design: 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.