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Temporary Ai Chatbot Training information

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How much do temporary ai chatbot training jobs pay per year?

As of Aug 10, 2026, the average yearly pay for temporary ai chatbot training in the United States is $65,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $81,500.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Ai Chatbot Training vs Data Annotator?

AspectTemporary Ai Chatbot TrainingData Annotator
CredentialsBasic technical skills, familiarity with AI toolsBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, AI development teamsRemote or on-site, data labeling projects
Industry UsageAI, machine learning, tech companiesAI, data science, research firms
Search/Comparison IntentUnderstanding roles in AI trainingUnderstanding data labeling jobs

Temporary Ai Chatbot Training involves preparing AI models by training chatbots with specific data, often requiring some technical understanding. Data Annotator focuses on labeling and categorizing data to improve AI accuracy. While both roles support AI development, they differ in tasks and skill requirements, with chatbot training being more technical and data annotation more detail-oriented.

Is training AI chatbots a real job?

Yes, training AI chatbots is a real job that involves providing data, feedback, and adjustments to improve chatbot responses. It often requires skills in data annotation, machine learning, and understanding natural language processing tools, and can be part of roles in AI development teams or freelance projects.

How to become a temporary AI chatbot trainer?

To become a temporary AI chatbot trainer, candidates typically need strong communication skills, familiarity with AI and machine learning concepts, and experience with data annotation or content moderation. Relevant tools include chatbot platforms and annotation software, and some roles may require a background in linguistics or computer science. Training often involves understanding the specific AI system and providing accurate, contextually appropriate responses to improve chatbot performance.
More about Temporary Ai Chatbot Training jobs
What cities are hiring for Temporary Ai Chatbot Training jobs? Cities with the most Temporary Ai Chatbot Training job openings:
What are the most commonly searched types of Ai Chatbot Training jobs? The most popular types of Ai Chatbot Training jobs are:
What states have the most Temporary Ai Chatbot Training jobs? States with the most job openings for Temporary Ai Chatbot Training jobs include:
Infographic showing various Temporary Ai Chatbot Training job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $65,807 per year, or $31.6 per hour.

Senior Director, Software Engineering

Freddie Mac

Mclean, VA • On-site

$255K/yr

Full-time

Re-posted 2 days ago


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

Get the full story on Breakroom


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