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Entry Level Ai Language Training Jobs (NOW HIRING)

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Entry Level Ai Language Training information

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$29.5K

$48.8K

$61.5K

How much do entry level ai language training jobs pay per year?

As of Jul 14, 2026, the average yearly pay for entry level ai language training in the United States is $48,812.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $53,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level AI Language Trainer, and why are they important?

To thrive as an Entry Level AI Language Trainer, you need strong language proficiency, attention to detail, and the ability to follow task guidelines, usually supported by a relevant degree or demonstrated language skills. Familiarity with annotation tools, content management systems, and basic understanding of AI or machine learning platforms is often required. Critical thinking, reliability, and effective communication are important soft skills that help you provide high-quality data and feedback. These competencies ensure the accuracy and usefulness of language data, directly impacting the performance and development of AI language models.

What is the difference between Entry Level Ai Language Training vs Entry Level Data Annotation?

AspectEntry Level Ai Language TrainingEntry Level Data Annotation
Required CredentialsBasic understanding of AI, language skills, possibly some certification in AI or linguisticsAttention to detail, basic computer skills, no formal certification typically needed
Work EnvironmentRemote or office-based, involves training AI models with language dataRemote or office-based, involves labeling and annotating data sets
Industry UsageUsed in AI development, NLP projects, language model trainingUsed in machine learning, data science, AI model training

Entry Level Ai Language Training focuses on preparing AI models to understand and generate human language, often involving training with language data. Entry Level Data Annotation involves labeling data to help AI systems learn patterns. While both roles support AI development, Ai Language Training emphasizes language skills and model training, whereas Data Annotation centers on data labeling tasks.

What is entry level AI language training?

Entry level AI language training typically refers to roles where individuals help train artificial intelligence systems, especially those focused on understanding and generating human language. These positions often involve tasks like annotating data, evaluating AI responses, or providing feedback on text generated by AI models. No advanced technical skills are usually required, but strong language skills and attention to detail are important. This job is a good starting point for those interested in the field of AI and natural language processing.

What are some common challenges faced in an entry-level AI language training role, and how can they be addressed?

One common challenge in an entry-level AI language training role is ensuring consistency and accuracy when annotating or labeling large volumes of text data. This can be addressed by carefully following annotation guidelines, seeking clarification when unsure, and participating in regular team check-ins to align understanding. Additionally, the fast-paced nature of AI projects may require quickly adapting to evolving guidelines and feedback, so staying flexible and open to learning is important. Collaboration with data scientists and linguists is frequent, providing valuable opportunities for mentorship and skill development.
More about Entry Level Ai Language Training jobs
What cities are hiring for Entry Level Ai Language Training jobs? Cities with the most Entry Level 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 job categories do people searching Entry Level Ai Language Training jobs look for? The top searched job categories for Entry Level Ai Language Training jobs are:
Infographic showing various Entry Level Ai Language Training job openings in the United States as of July 2026, with employment types broken down into 100% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $48,812 per year, or $23.5 per hour.
Applied AI Scientist, Small Language Model and AI Training

Applied AI Scientist, Small Language Model and AI Training

Postman

San Francisco, CA

$250K - $276K/yr

Full-time

Medical, PTO

Re-posted 6 days ago


Job description

Overview

Applied AI Scientist, Small Language Model and AI Training

Pay

Base pay range

$250,000.00/yr - $276,000.00/yr

Who Are We?

Postman is the world’s leading API platform, used by more than 40 million developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman.

The Opportunity

As an Applied Scientist specializing in Small Language Models and AI Training, you will lead research and development efforts focused on building efficient, high-performance language models tailored for practical applications. You will work closely with research, engineering, and product teams to advance model training techniques, optimize architectures, and scale AI solutions. Your work will directly contribute to AI systems that are safe, interpretable, and impactful across diverse usage scenarios.

What You’ll Do
  • Lead research and development of novel training methodologies and architectures for small and efficient language models.
  • Design, implement, and evaluate model training experiments to improve performance, robustness, and generalization of language models.
  • Collaborate closely with research scientists and engineers on scalable training pipelines and model deployment strategies.
  • Develop techniques for model compression, fine-tuning, and domain adaptation to optimize models for real-world applications.
  • Ensure AI safety, fairness, and alignment principles are integrated into model training processes and evaluated rigorously.
  • Mentor and support cross-functional teams on applied machine learning methods and best practices.
  • Evaluate and integrate new tools, frameworks, and datasets to accelerate AI training workflows.
  • Partner with product teams to translate model capabilities into actionable features aligned with user needs and ethical standards.
About You
  • Have demonstrated experience in applied research or engineering roles focused on training language models, ideally small or efficient models.
  • Strong programming skills in Python and familiarity with machine learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Deep understanding of language model architectures, training techniques, and optimization strategies.
  • Experience with distributed training, data pipeline design, and scalable AI infrastructure.
  • Passion for AI safety, interpretability, and delivering user-centered AI technology.
  • Excellent communication skills with proven ability to collaborate across research, engineering, and product teams.
Preferred
  • Prior experience working with large and small language models in production or research settings.
  • Background in reinforcement learning, prompt engineering, or transfer learning techniques.
  • Experience with developer tools, APIs, or frameworks related to AI model integration and delivery.
  • Knowledge of AI alignment, fairness, and ethical AI training methodologies.

The reasonably estimated base salary for this role ranges from $250,000.00 to $276,000.00, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

What Else?

In addition to Postman's pay-on-performance philosophy, and a flexible schedule working with a fun, collaborative team, Postman offers a comprehensive set of benefits, including full medical coverage, flexible PTO, wellness reimbursement, and a monthly lunch stipend. Along with that, our wellness programs will help you stay in the best of your physical and mental health. Our frequent and fascinating team-building events will keep you connected, while our donation-matching program can support the causes you care about. We’re building a long-term company with an inclusive culture where everyone can be the best version of themselves.

At Postman, we embrace a hybrid work model. For all roles based out of San Francisco Bay Area, Boston, Bangalore, Hyderabad, and New York, employees are expected to come into the office 3-days a week. We were thoughtful in our approach which is based on balancing flexibility and collaboration and grounded in feedback from our workforce, leadership team, and peers. The benefits of our hybrid office model will be shared knowledge, brainstorming sessions, communication, and building trust in-person that cannot be replicated via zoom.

Our Values

At Postman, we create with the same curiosity that we see in our users. We value transparency and honest communication about not only successes, but also failures. In our work, we focus on specific goals that add up to a larger vision. Our inclusive work culture ensures that everyone is valued equally as important pieces of our final product. We are dedicated to delivering the best products we can.

Equal opportunity

Postman is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Postman does not accept unsolicited headhunter and agency resumes. Postman will not pay fees to any third-party agency or company that does not have a signed agreement with Postman.

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