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Full Time Ai Language Trainer Jobs (NOW HIRING)

Oxy

Senior AI Language Model Engineer

Houston, TX · On-site

$99K - $137K/yr

... of AI Language Model Engineer within our AI Center of Excellence group based in Houston, TX. ... We will never: • Ask you to pay for applications, interviews, meetings, processing, training or ...

Oxy

Senior AI Language Model Engineer

Houston, TX

$99K - $137K/yr

... of AI Language Model Engineer within our AI Center of Excellence group based in Houston, TX. ... Ask you to pay for applications, interviews, meetings, processing, training or for any other fees ...

Weekday AI

Artificial Intelligence Manager

New York, NY · On-site

New York JobType: full-time AI Delivery Manager NYC, NY - Onsite Only Full-Time (FTE) Position ... Large Language Model (LLM) applications (RAG, Agents, Copilots) * Data science and machine learning ...

Fluency

AI Engineer

San Francisco, CA · On-site

$150K - $250K/yr

We're hiring a full-time AI Engineer to own the prompts, agents, evals, and pipelines behind user ... Experience with post-training or fine-tuning * Experience deploying AI features on AWS Lambda, ECS ...

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How much do full time ai language trainer jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for full time ai language trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

What is the difference between Full Time Ai Language Trainer vs Part Time Ai Language Tutor?

AspectFull Time Ai Language TrainerPart Time Ai Language Tutor
CredentialsTypically requires a degree in linguistics, education, or related field; certifications in language teaching or AI toolsMay have similar credentials but often less formal or fewer certifications
Work EnvironmentFull-time employment, often in corporate training centers or online platformsPart-time, often freelance or on-demand online sessions
Employer & Industry UsageUsed by educational institutions, tech companies, and online training platformsCommonly used by individual tutors, online marketplaces, and freelance platforms

In summary, a Full Time Ai Language Trainer typically works full-time in structured environments with formal credentials, while a Part Time Ai Language Tutor operates on a flexible schedule, often independently, with similar but sometimes fewer qualifications.

What are some common challenges faced by Full Time AI Language Trainers, and how can they be addressed?

Full Time AI Language Trainers often encounter challenges such as maintaining data quality, staying updated with evolving language models, and managing large volumes of diverse training data. To address these, trainers typically collaborate closely with data scientists and engineers, utilize annotation tools to streamline workflows, and participate in regular team meetings to share best practices. Continuous learning and adapting to new technologies are also essential to ensure the AI models remain accurate and effective.

What are the key skills and qualifications needed to thrive as a Full Time AI Language Trainer, and why are they important?

To thrive as a Full Time AI Language Trainer, you need strong linguistic expertise, analytical thinking, and a background in language or computational linguistics, often supported by a relevant degree. Familiarity with annotation tools, data labeling platforms, and machine learning systems is typically required, along with experience using productivity software. Excellent attention to detail, effective communication, and adaptability are valuable soft skills for collaborating with engineering teams and refining AI outputs. These skills and qualities ensure the creation of accurate, high-quality language data sets that directly impact the performance and reliability of AI language models.

What does a Full Time AI Language Trainer do?

A Full Time AI Language Trainer is responsible for teaching, training, and refining artificial intelligence language models. This involves curating and annotating data, evaluating model outputs, and providing feedback to improve the AI’s understanding of language. Language trainers collaborate with data scientists and engineers to develop algorithms and processes that enhance natural language processing capabilities. Their work helps ensure AI systems generate more accurate, contextually relevant, and ethical language responses.
More about Full Time Ai Language Trainer jobs
What are the most commonly searched types of Ai Language Trainer jobs? The most popular types of Ai Language Trainer jobs are:
What job categories do people searching Full Time Ai Language Trainer jobs look for? The top searched job categories for Full Time Ai Language Trainer jobs are:
Full Time Ai Language Trainer jobs near you

Conversational AI & Language Engineering Lead

Bank of America

Pennington, NJ • On-site

$122K - $200K/yr

Full-time

PTO

Posted 22 days ago

Job description

Job Description:
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Conversational AI & Language Engineering Lead
This job is responsible for defining and leading the engineering approach for complex features to deliver significant business outcomes. Key responsibilities of the job include delivering complex features and technology, enabling development efficiencies, providing technical thought leadership based on conducting multiple software implementations, and applying both depth and breadth in a number of technical competencies. Additionally, this job is accountable for end-to-end solution design and delivery.
Job Description:
The Conversational AI & Language Engineering role, is a senior leadership position, responsible for setting the technical vision, managing teams, and ensuring the long-term health and performance of the machine learning capabilities powering Bank of America's employee facing Virtual Assistant.
This role is leadership first: accountable for strategy, governance, prioritization, and outcomes across natural language understanding (NLU), speech recognition, and LLM based capabilities.
Additionally, this job is accountable for end-to-end solution design and delivery.
Key Responsibilities
Technology Leadership & Ownership
  • Own the end-to-end technical strategy for language engineering, NLU, and conversational AI across web, mobile, and voice channels.
  • Define and evolve the intent portfolio and domain coverage (e.g., technology, human resources), ensuring alignment between conversation design, business needs, and ML capabilities.
  • Establish standards and best practices for model quality, evaluation, telemetry, and lifecycle management.
  • Provide senior-level technical oversight for model design, training approaches, performance tradeoffs, and production readiness.
  • Serve as the accountable owner for model governance, including current and future registered models.
  • Help transition a mature deterministic solution with over 650 capabilities to leverage Generative and Agentic AI.

Strategy, Roadmap & Stakeholder Partnership
  • Define the conversational AI roadmap, integrating traditional NLU techniques with LLM and GenAI capabilities where appropriate.
  • Partner with product owners, UX researchers, data scientists, and engineering leaders to shape the "brain" of the virtual assistant.
  • Translate complex technical topics into clear, executive-level communication for stakeholders and leadership.
  • Identify systemic gaps or underperforming areas through analytics and conversation monitoring and drive multi-quarter improvement plans.

Required Skills & Experience
  • Proven experience leading teams delivering conversational AI, NLP, or language-driven ML solutions.
  • Strong background in natural language processing, intent classification, and speech recognition, with the ability to guide others rather than execute all work personally.
  • Experience shaping and executing technical strategy across multiple domains and channels.
  • Familiarity with LLMs and GenAI, including their application, limitations, and governance considerations in enterprise environments.
  • Working knowledge of Python, ML workflows, and evaluation techniques sufficient to provide technical leadership and oversight.
  • Experience with Agile and DevOps operating models.
  • Strong analytical thinking, decision-making, and executive communication skills.

Shift:
1st shift (United States of America)
Hours Per Week:
40
Pay Transparency details
US - IL - Chicago - 540 W Madison St - Bank Of America Plaza (IL4540), US - NJ - Pennington - 1300 American Blvd - Hopewell Bldg 3 (NJ2130)
Pay and benefits information
Pay range
$122,000.00 - $200,000.00 annualized salary, offers to be determined based on experience, education and skill set.
Discretionary incentive eligible
This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.
Benefits
This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

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