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Assistant Llm Training Jobs (NOW HIRING)

Linguist II (LLM/AI)

Sunnyvale, CA ยท On-site

$36 - $40.20/hr

Develop and maintain annotation schemas and guidelines for LLM training data, including instruction ... Support programmatic methods to generate synthetic annotated data at scale. Assist in model ...

Linguist

California, MD ยท On-site

$35 - $40/hr

Develop and maintain annotation schemas and guidelines for LLM training data, including instruction ... Support programmatic methods for generating synthetic annotated data at scale. Assist in model ...

LLM Specialist

Mclean, VA ยท On-site

$16.50 - $21.75/hr

Support AI literacy efforts and enterprise training initiatives. * Serve as a trusted advisor and ... * Assist with internal audits, regulatory examinations, and independent reviews related to AI ...

LLM Prompt Specialist

$100K - $150K/yr

Exposure to product domains such as customer support, coding assistants, or analytics agents ... This commitment extends to all aspects of employment, including recruitment, hiring, training ...

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Assistant Llm Training information

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How much do assistant llm training jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for assistant llm training in the United States is $21.16, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $22.60 per hour, depending on experience, location, and employer.

What are some typical challenges faced by assistant LLM training professionals, and how can they be addressed?

Assistant LLM Training professionals often encounter challenges such as ensuring high-quality data annotation, managing large and complex datasets, and keeping up with evolving model requirements. Effective communication with data scientists and engineers is crucial to align on project goals and annotation standards. Staying organized and proactive in seeking feedback can help address ambiguities in training data, while continuous learning about new tools and best practices in machine learning annotation can further enhance overall performance.

What are the key skills and qualifications needed to thrive as an assistant LLM training?

To thrive as an Assistant LLM Training Specialist, you need a solid understanding of machine learning concepts, data preprocessing, and natural language processing, often supported by a degree in computer science or a related field. Familiarity with Python, deep learning frameworks such as TensorFlow or PyTorch, and experience with data annotation tools are typically required. Strong attention to detail, problem-solving skills, and the ability to collaborate effectively with data scientists and engineers set standout candidates apart. These competencies ensure the accurate preparation and management of data crucial for developing effective large language models.

What is an assistant LLM training?

Assistant LLM Training jobs typically involve supporting the development, fine-tuning, and evaluation of large language models (LLMs) like GPT or similar AI systems. Individuals in these roles may help gather and curate training data, annotate or review outputs, and assist in testing model performance. They often work closely with machine learning engineers and data scientists to ensure the LLMs produce accurate, ethical, and high-quality responses. These positions may also include monitoring for biases, suggesting improvements, and maintaining documentation related to model training.

What is the difference between Assistant Llm Training vs Data Annotator?

AspectAssistant Llm TrainingData Annotator
Required CredentialsTypically a degree in AI, computer science, or related fieldHigh school diploma or equivalent; training often provided
Work EnvironmentOffice or remote, collaborative with AI teamsMostly remote or on-site, focused on data labeling
Industry UsageAI development, machine learning projectsData preparation for AI and ML models
Common Search & ComparisonOften compared for roles supporting AI trainingCompared for data labeling and annotation tasks

Assistant Llm Training involves preparing and fine-tuning language models, requiring technical skills and relevant degrees. Data Annotator focuses on labeling data to train AI models, often with minimal formal credentials. Both roles support AI development but differ in technical complexity and responsibilities.

More about Assistant Llm Training jobs
What cities are hiring for Assistant Llm Training jobs? Cities with the most Assistant Llm Training job openings:
What are the most commonly searched types of Llm Training jobs? The most popular types of Llm Training jobs are:
What states have the most Assistant Llm Training jobs? States with the most job openings for Assistant Llm Training jobs include:
Infographic showing various Assistant Llm Training job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $44,018 per year, or $21.2 per hour.

Linguist II (LLM/AI)

BC Forward

Sunnyvale, CA โ€ข On-site

$36 - $40.20/hr

Other

Posted 24 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.