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Temporary Llm Trainer Jobs (NOW HIRING)

Avathon

Senior AI Engineer

Pleasanton, CA

$130K - $155K/yr

Instrument and monitor LLM applications in production using observability tools, tracking cost ... Exposure to distributed training, model optimization, and scalable inference architectures

Columbia University

Manager, Labor Relations

New York, NY · On-site

$95K - $110K/yr

Regular/Temporary: Regular * Hours Per Week: 35 * Salary Range: $95,000 - $110,000 The salary of ... JD or LLM degree preferred. Experience within a multi-union environment is strongly preferred.

Truist

Estate Advisor I

Boca Raton, FL · On-site

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... JD, LLM, MBA, CPA, CTFA or CFP). General Description of Available Benefits for Eligible Employees ...

Truist

Estate Advisor I

Boca Raton, FL · On-site

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... JD, LLM, MBA, CPA, CTFA or CFP). General Description of Available Benefits for Eligible Employees ...

TEKsystems

Content Strategist - Mid-Level

Austin, TX

$54 - $57/hr

... and training to operate in a new model • Drive alignment between content strategy, UX, and ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

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How much do temporary llm trainer jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for temporary llm trainer in the United States is $24.74, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $26.44 per hour, depending on experience, location, and employer.

What is the difference between Temporary Llm Trainer vs Data Annotator?

AspectTemporary Llm TrainerData Annotator
Required CredentialsRelevant degrees in AI, NLP, or related fields; technical skills in machine learningHigh school diploma or equivalent; attention to detail
Work EnvironmentTech companies, AI labs, remote or on-siteData labeling firms, tech companies, remote or on-site
Employer & Industry UsageAI development, machine learning projectsData preparation, training datasets for AI models

Temporary Llm Trainers focus on developing and fine-tuning language models, requiring technical expertise in AI and NLP. Data Annotators primarily label data to train these models, often with less technical background. Both roles are essential in AI development but differ in skills and responsibilities.

What are the key skills and qualifications needed to thrive as a Temporary LLM Trainer, and why are they important?

To thrive as a Temporary LLM Trainer, you need a strong background in natural language processing, prompt engineering, and familiarity with large language models, often supported by relevant academic or industry experience. Proficiency with machine learning frameworks (such as PyTorch or TensorFlow), data annotation tools, and version control systems is typically required. Attention to detail, effective communication, and adaptability are essential soft skills for collaborating with development teams and ensuring high-quality training data. These skills ensure the LLM is trained accurately and efficiently, resulting in effective and reliable AI systems.

What are the typical responsibilities of a Temporary LLM Trainer, and how do they contribute to improving AI models?

As a Temporary LLM Trainer, your main responsibilities involve reviewing, annotating, and generating training data to help improve large language models. This often means analyzing model outputs, providing detailed feedback, and crafting example conversations or prompts. You may collaborate closely with machine learning engineers and researchers to ensure your insights directly inform model updates. While the role is project-based, it offers valuable exposure to cutting-edge AI development and can be a stepping stone to further opportunities in the field.

What are Temporary LLM Trainers?

Temporary LLM Trainers are professionals hired on a short-term basis to assist in training large language models (LLMs) like GPT or similar AI systems. Their role typically involves curating, labeling, or generating data, evaluating model outputs, and providing feedback to improve the performance and accuracy of LLMs. These positions are often project-based and may require expertise in linguistics, data analysis, or specific subject matter. Temporary LLM Trainers help ensure the AI models are aligned with desired guidelines and ethical standards.
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Temporary Llm Trainer jobs near you
Tamil Translator (Remote) | Sigma AI

Tamil Translator (Remote) | Sigma AI

Sigma Group

Remote

$45K - $58K/yr

Temporary

Posted 5 days ago

Job description

Join Sigma.AI - Shaping the Future of Artificial Intelligence
What is Sigma?
Sigma is a leading global technology company specializing in data collection and annotation for Artificial Intelligence. With over 30 years of experience, offices in Spain, the US, and the UK, and operations in more than 700 languages, we support top multinational clients in developing cutting-edge AI solutions.
Soft Skills We Value
Are you a proactive professional who thrives on challenges, values collaboration, and approaches every task with empathy, integrity, and a passion for learning?
If so, we'd love to hear from you!
• Requirements
We are looking for candidates with the following qualifications:
  • Bachelor's degree in Translation and Interpretation
  • Linguist with native or near-native proficiency in Tamil
  • Fluent in English with the ability to accurately listen and write with excellent spelling and attention to detail
  • Solid command of linguistic theory, grammar, and language structure
  • Strong writing, editing, and communication skills
  • Computer literacy

Preferred (but not mandatory):
  • Experience with one or more of the following: computational linguistics, corpus analysis, language data annotation, or LLM training
  • Strong attention to detail

What will you do?
Annotation - Audio/Video/Image/Sentence/Word validation - Categorization, Conversational interactions - Content creation - Correction - Evaluation - Localization
All tasks are remote, performed through an online platform available 24/7.
This opportunity is offered for freelancers under a commercial contract.
Connectivity & Accessories:
  • Stable internet connection
  • Headphones
  • Secure internet location, protected by a strong password

How to Apply
If you're interested, click "APPLY FOR THIS JOB" and follow the instructions.
After submitting your application, you will receive an email with the required tests to assess your qualifications. These tests are mandatory to move forward in the process.
Check your inbox and spam folder, just in case!
Important Notes
  • Sigma.AI does not hire through third parties. No agents' intermediaries or third parties are authorized to represent benefit from or participate in any way in the relationship. To this effect the Candidate agrees to provide any documentation or information reasonably requested by the Company to verify their identity and credentials. Should the Candidate fail to provide enough evidence of their identity to Sigma's satisfaction, Sigma shall be entitled to withhold or terminate any offer with the Candidate.
  • The company may employ or rely on artificial intelligence systems in its selection processes. Such processing is carried out in an ethical, transparent, and legally compliant manner. The purpose of the processing is to evaluate the tests submitted in the course of the selection process (for instance the transcribed content provided by the candidate). The legal basis for processing your data is the pre-contractual relationship between the parties and/or the provision of requested services.

Need Help?
We're here for any questions or concerns.
Join us and be part of something global, innovative, and impactful.
Sigma.AI - Data done right.
Department Annotation & Translation Locations United States, United Kingdom, Australia Remote status Fully Remote Employment type Temporary

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