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Llm Ai Training Jobs (NOW HIRING)

Linguist II (LLM/AI)

Sunnyvale, CA · On-site

$36 - $40.20/hr

Linguist II (LLM/AI) Location: Sunnyvale, CA; New York, NY; Burlingame, WA; or Redmond, WA (Onsite ... Develop and maintain annotation schemas and guidelines for LLM training data, including instruction ...

Responsibilities : • review scientific papers alongside LLM-generated graphical abstracts. • ... with AI-related training or evaluation tasks • A background in scientific publishing or peer ...

Responsibilities : • review scientific papers alongside LLM-generated graphical abstracts. • ... AI-related training or evaluation tasks • Background in scientific publishing or peer review ...

Responsibilities : • Scientific Review: review scientific papers alongside LLM-generated ... with AI-related training or evaluation tasks • A background in scientific publishing or peer ...

Responsibilities : • review scientific papers alongside LLM-generated graphical abstracts. • ... AI-related training or evaluation tasks • Background in scientific publishing or peer review ...

Responsibilities : • Scientific Review: review scientific papers alongside LLM-generated ... AI-related training or evaluation tasks • Background in scientific publishing or peer review ...

Responsibilities : • review scientific papers alongside LLM-generated graphical abstracts. • ... AI-related training or evaluation tasks • Background in scientific publishing or peer review ...

... LLM, AI Training, AI Evaluation, AI Data Annotation, AI Model Training, AI Quality Assurance, AI Content Review, AI Validation, Prompt Engineering, Data Analysis, Research, Content Review, Technical ...

... LLM, AI Training, AI Evaluation, AI Data Annotation, AI Model Training, AI Quality Assurance, AI Content Review, AI Validation, Prompt Engineering, Data Analysis, Research, Content Review, Technical ...

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Llm Ai Training information

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How much do llm ai training jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for llm ai training in the United States is $17.16, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $17.31 per hour, depending on experience, location, and employer.

What is the difference between Llm Ai Training vs Data Scientist?

AspectLlm Ai TrainingData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with machine learningDegree in Data Science, Statistics, or related fields; programming skills
Work EnvironmentAI labs, tech companies, research institutionsBusiness, tech firms, research organizations
Industry UsageDeveloping and fine-tuning large language modelsAnalyzing data, building predictive models, data visualization

While both roles involve working with data and machine learning, Llm Ai Training focuses on developing and refining large language models, whereas Data Scientists analyze data to generate insights and build predictive models. The skills and work environments overlap, but their core objectives differ.

What are some common challenges faced by professionals working in LLM AI training, and how can they be addressed?

Professionals in LLM AI training often face challenges such as curating high-quality, diverse datasets and ensuring ethical data usage. Balancing model performance with fairness and minimizing biases in training data is also crucial. Collaboration with data engineers, domain experts, and ethical review teams is essential to address these issues. Staying updated with the latest research and adopting robust validation techniques can help maintain model reliability and integrity.

What is LLM AI training?

LLM AI training refers to the process of teaching large language models (LLMs), like GPT or BERT, to understand and generate human-like text. This is done by exposing the model to vast datasets containing text from books, articles, websites, and more, so it can learn patterns, grammar, facts, and reasoning. The training involves complex algorithms and substantial computational resources, often requiring advanced hardware. As a result, LLM AI training enables these models to perform tasks such as answering questions, writing content, and summarizing information with impressive fluency.

What are the key skills and qualifications needed to thrive as an LLM AI Training Specialist, and why are they important?

To thrive as an LLM AI Training Specialist, you need expertise in machine learning, natural language processing, and data annotation, often supported by a degree in computer science or a related field. Familiarity with tools like Python, TensorFlow, PyTorch, and data labeling platforms, as well as knowledge of large language model architectures, is crucial. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with cross-functional teams and ensure high-quality training data. These skills and qualities are vital for building accurate, reliable AI models that perform well in real-world applications.
More about Llm Ai Training jobs
What cities are hiring for Llm Ai Training jobs? Cities with the most Llm Ai Training job openings:
What states have the most Llm Ai Training jobs? States with the most job openings for Llm Ai Training jobs include:
Infographic showing various Llm Ai Training job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $35,684 per year, or $17.2 per hour.

Linguist II (LLM/AI)

BC Forward

Sunnyvale, CA • On-site

$36 - $40.20/hr

Other

Posted 18 days ago


Job description

Job Title: Linguist II (LLM/AI) Location: Sunnyvale, CA; New York, NY; Burlingame, WA; or Redmond, WA (Onsite 3 days/week) Duration: Contract - 12 months Pay Range: $36/hr - $40.20/hr (W2) Job ID: 406942 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Linguist II to join our team and help develop language components for AI-powered products, including large language models (LLMs) and voice-enabled technologies. The ideal candidate will have strong experience in linguistic data analysis, language technology, and programming familiarity and a proven ability to support data collection, synthetic data generation, and annotation efforts for LLM/AI training, evaluation, alignment, and AI agent development. Responsibilities: Apply linguistic expertise in syntax, semantics, pragmatics, and sociolinguistics to support LLM and generative AI systems. Collaborate with linguists, data operations teams, and ML engineers on data collection, curation, annotation, and localization for training and fine-tuning. Develop and maintain annotation schemas and guidelines for LLM training data, including instruction-tuning, preference labeling, and RLHF. Evaluate and quality-check datasets used for pre-training, fine-tuning, and alignment of language models. Support programmatic methods to generate synthetic annotated data at scale. Assist in model evaluation, including prompt-based testing, red-teaming, and linguistic error analysis. Participate in experiments to assess data quality, annotation consistency, and downstream model performance. Required Skills & Qualifications: Bachelor's degree in Linguistics, Computational Linguistics, Computer Science, Speech Science, or related field. 1+ years of experience in Linguistics, Language Technologies, NLP, or AI/ML data operations, or equivalent. Knowledge of syntax, semantics, pragmatics, sociolinguistics, and corpus linguistics. Familiarity with LLMs, their applications, and data practices including training data, evaluation, prompting, and fine-tuning. Exposure to LLM evaluation methodologies such as human evaluation, automated metrics, and adversarial testing. Experience with semantic ontologies, taxonomies, or intent/slot frameworks. Proficiency using AI agents or chatbots. Experience with database queries and data analysis tools such as SQL, spreadsheets, R, or Unix. Experience working with speech and text data in multiple languages. Ability to operate in a fast-paced, collaborative environment with evolving priorities. Preferred Skills: Native or near-native fluency in English and at least one additional language. Master's degree in Linguistics, Computational Linguistics, Language Technologies, or related field. Familiarity with ML frameworks and NLP libraries and tools such as Hugging Face, spaCy, NLTK, or PyTorch. Exposure to statistical language modeling or training data pipelines. Strong organizational skills and attention to detail. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Fair Chance Notice Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position, including adherence to company policies, use of sound judgment, effective stress management, safe and respectful collaboration, trustworthiness, meeting client expectations and standards, and safeguarding business operations and company reputation. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.