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Full Time Ai Language Training Jobs (NOW HIRING)

ProSidian Consulting

NC · On-site

ProSidian.com ProSidian Seeks a Language Training Support Administrator | Language and Cultural ... Our growing list of benefits currently includes the following for Full-Time Employees:

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 ...

ProSidian Consulting

NC · On-site

Seeking Instructional Systems Designer (ISD) for Military Language Training candidates with ... Our growing list of benefits currently includes the following for Full-Time Employees:

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. ... 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 ...

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 ...

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All JobsFull Time Ai Language Training Jobs

Full Time Ai Language Training information

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$32K

$68.7K

$112K

How much do full time ai language training jobs pay per year?

As of Jun 9, 2026, the average yearly pay for full time ai language training in the United States is $68,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $84,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Ai Language Training vs Data Scientist?

AspectFull Time Ai Language TrainingData Scientist
Required CredentialsTypically a degree in computer science, linguistics, or related fields; certifications in AI or machine learningDegree in computer science, statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentTraining centers, online platforms, or corporate training programsOffice settings, research labs, or remote work
Industry UsageUsed by AI companies, educational institutions, and tech firms for language model developmentUsed across industries for data analysis, predictive modeling, and decision-making

Full Time Ai Language Training focuses on teaching AI models to understand and generate human language, often involving training data preparation and model tuning. Data Scientists analyze data to extract insights, build models, and support business decisions. While both roles require technical skills and knowledge of machine learning, Full Time Ai Language Training is centered on model development and training, whereas Data Scientists focus on data analysis and application.

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Full Time Ai Language Training jobs near you

Conversational AI & Language Engineering Lead

Bank of America

Charlotte, NC

$122K - $200K/yr

Full-time

PTO

Posted 21 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 LeadThis 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 ResponsibilitiesTechnology Leadership & Ownership
  • Own the endtoend 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 seniorlevel 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, executivelevel communication for stakeholders and leadership.
  • Identify systemic gaps or underperforming areas through analytics and conversation monitoring and drive multiquarter improvement plans.
Required Skills & Experience
  • Proven experience leading teams delivering conversational AI, NLP, or languagedriven 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, decisionmaking, 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 informationPay range$122,000.00 - $200,000.00 annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligibleThis 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.BenefitsThis 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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