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Ai Chatbot Trainer Jobs (NOW HIRING)

AI Implementation Analyst

Englewood, CO · On-site

$83K - $118K/yr

Knowledge Base Chatbot Integration: Implement and continuously enhance a proprietary AI chatbot ... Create a next-generation augmented reality onboarding and training program to upskill technicians ...

AI Implementation Analyst

Englewood, CO · On-site

$83K - $118K/yr

Knowledge Base Chatbot Integration: Implement and continuously enhance a proprietary AI chatbot ... Create a next-generation augmented reality onboarding and training program to upskill technicians ...

Select and deploy an integrated telephony platform and AI chatbot for triage and first‑touch ... Define hiring roadmap tied to commercial milestones; lead recruiting, onboarding, and training when ...

Experience in AI, chatbot/IVR strategy, conversation design, and optimization * Knowledge of ... training, GM employee auto discount, community service pay and nine company holidays. Our Culture:

Experience in AI, chatbot/IVR strategy, conversation design, and optimization * Knowledge of ... training, GM employee auto discount, community service pay and nine company holidays. Our Culture:

Description: • Work on state of the art Machine Learning, Natural Language Processing and Gen AI ... and IT training, in addition to expanding our delivery centers in North America and the Asia ...

Maintain version-controlled AI training content that is audit-ready and aligned with policy and regulatory requirements. * Monitor chatbot and voicebot analytics to identify underperforming flows ...

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Ai Chatbot Trainer information

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How much do ai chatbot trainer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for ai chatbot 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.

How much do AI chatbot trainers make?

AI chatbot trainers typically earn between $40,000 and $80,000 annually, depending on experience, location, and the complexity of the projects. Entry-level positions may start lower, while experienced trainers with specialized skills can earn higher salaries, often supplemented by benefits and opportunities for remote work.

How to become an AI chatbot trainer?

To become an AI chatbot trainer, you typically need a background in computer science, linguistics, or related fields, along with skills in machine learning, natural language processing, and data annotation. Gaining experience with AI tools and platforms, such as TensorFlow or Dialogflow, and understanding how to label and improve chatbot responses are essential. Certifications in AI or data science can also enhance your qualifications.

What does an AI Chatbot Trainer do?

As an AI Chatbot Trainer, your daily tasks often include reviewing chatbot interactions, annotating data, identifying areas where the chatbot needs improvement, and providing feedback to developers and data scientists. You'll spend time testing chatbot responses, updating training datasets, and monitoring performance metrics to ensure ongoing accuracy and relevance. Collaboration with UX designers, software engineers, and product managers is also frequent, as aligning the chatbot's language and personality with business goals is a key part of the job. This role offers the chance to make a direct impact on user satisfaction while continually learning about the latest AI advancements.

What is an AI Chatbot Trainer?

An AI Chatbot Trainer is responsible for improving the accuracy and effectiveness of chatbot responses by training the AI model with high-quality data. They review conversations, ensure appropriate tone and accuracy, and refine responses to enhance user experience. This role often involves analyzing user interactions, identifying gaps in chatbot knowledge, and implementing improvements. AI Chatbot Trainers work closely with developers and data scientists to optimize chatbot performance and ensure it meets user needs.

What are the key skills and qualifications needed to thrive as an AI Chatbot Trainer?

To thrive as an AI Chatbot Trainer, you need a strong understanding of natural language processing, data annotation, and machine learning concepts, usually supported by a background in computer science, linguistics, or related fields. Familiarity with tools such as conversational AI platforms (e.g., Dialogflow, Rasa), annotation software, and analytics dashboards is common, and certifications in AI or data science can be beneficial. Excellent communication, attention to detail, and problem-solving skills are crucial for refining chatbot interactions and collaborating effectively with cross-functional teams. These competencies ensure that chatbots deliver accurate, helpful, and natural user experiences while continuously improving through systematic training and feedback.

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Infographic showing various Ai Chatbot Trainer job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

Senior Director, Software Engineering

Freddie Mac

Mclean, VA • On-site

$255K/yr

Full-time

Re-posted yesterday


Freddie Mac rating

9.2

Company rating: 9.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.

Position Overview:

Freddie Mac is seeking a Sr. Director, Generative AI Development to lead a team of engineers building and operating internal Generative AI capabilities, including the company's internal chatbot and additional Gen AI-enabled products. This leader will drive delivery excellence, engineering rigor, and secure-by-design implementation across the full software lifecycle-partnering closely with Product, Architecture, Cybersecurity, Data, Model Risk, Legal/Compliance, and business stakeholders.

Your Impact:
  • Lead, coach, and grow a high-performing GenAI engineering team; set clear expectations, career paths, and performance standards.

  • Own delivery for internal AI chatbot and GenAI services: roadmap execution, sprint planning, dependency management, and release readiness.

  • Establish engineering standards for GenAI applications: prompt/service design patterns, evaluation frameworks, observability, and incident response.

  • Drive architecture and implementation for LLM-enabled systems (e.g., RAG, tool/function calling, agentic workflows) aligned to enterprise standards.

  • Ensure security, privacy, and compliance requirements are built-in (e.g., data handling, access controls, auditability, retention).

  • Partner with Model Risk Management and governance stakeholders to support appropriate documentation, testing, and controls for GenAI solutions.

  • Implement and monitor quality metrics (latency, cost per interaction, groundedness, hallucination rate, user satisfaction) and continuously improve.

  • Manage vendor/platform dependencies (LLM providers, orchestration frameworks, vector stores) and guide build-vs-buy decisions.

  • Communicate status, risks, and tradeoffs to senior technology and business leaders; translate business needs into engineering plans.

Qualifications:
  • 12+ years of software engineering experience, including 5+ years leading engineering teams/managers.

  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).

  • Proven experience delivering production-grade AI/ML or GenAI-enabled applications at enterprise scale.

  • Strong knowledge of modern cloud-native engineering (APIs, microservices, containers, CI/CD, IaC).

  • Recent hands-on coding experience.

  • Experience with secure software development practices and enterprise risk/compliance expectations.

  • Strong stakeholder management skills; ability to influence across product, security, and governance functions.

Preferred Qualifications:

  • Experience implementing RAG with vector databases and enterprise search.

  • Familiarity with LLM evaluation methods and automated testing approaches for GenAI.

  • Experience with MLOps/LLMOps, model monitoring, and cost optimization.

  • Background in regulated industries (financial services, mortgage, insurance) and related control environments.

Keys to Success in this Role:

  • Stable, measurable internal AI chatbot platform with strong adoption and clear quality/cost metrics.

  • Repeatable engineering patterns for GenAI features (RAG, tools, evaluation, guardrails) used across projects.

  • Improved delivery predictability and engineering quality (test coverage, incident reduction, faster release cycles).

  • Strong partnership model with Cybersecurity, Architecture, and Model Risk to accelerate safe delivery.

Current Freddie Mac employees please apply through the internal career site.

We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.

CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.

Time-type:Full timeFLSA Status:Exempt

Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.

This position has an annualized market-based salary range of $228,000 - $342,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.Employment Type: FULL_TIME

What Freddie Mac employees say

Pay

Hours and flexibility

Workplace

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Freddie Mac logo

About Freddie Mac

Sourced by ZipRecruiter

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you'll do important work for the housing finance system and make a difference in the lives of others.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1970