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Generative AI Developer

Key Responsibilities Generative AI & Prompt Engineering * Design, develop, and optimize ... Knowledge of document-heavy domains (contracts, agreements, reports) * Experience working in ...

Welo Global

Generative AI Analyst | Spanish (US)

$15/hr

Generative AI Analyst - Spanish (US) * Location: Remote (US) * Employment Type: Freelance * Pay Rate: 15 USD/per hour Depending on the project, you may work with text, translations, audio ...

Welo Global

Generative AI Analyst | English (US)

$15/hr

Job Title: Generative AI Analyst - English (US) * Location: Remote, US * Commitment: 4 weeks ... Freelance Contract * Pay Rate: $15/hour What You'll Do * Review, evaluate, and annotate AI ...

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How much do contract generative ai jobs pay per year?

As of Aug 21, 2026, the average yearly pay for contract generative ai in the United States is $106,034.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $119,000.00 per year, depending on experience, location, and employer.

What is a contract generative AI?

A Contract Generative AI professional is an expert who works on a contractual basis to develop, implement, or manage generative artificial intelligence solutions for organizations. This role typically involves creating AI models that can generate content, images, text, or other data using advanced machine learning techniques. Contract Generative AI professionals may work on specific projects such as building chatbots, automating content creation, or developing creative AI tools. Their expertise is often sought for temporary assignments, allowing companies to leverage AI capabilities without hiring full-time staff.

What are the key skills and qualifications needed to thrive as a contract generative AI?

To thrive as a Contract Generative AI Specialist, you need a solid background in machine learning, deep learning, and natural language processing, often backed by a degree in computer science or related fields. Experience with frameworks like TensorFlow or PyTorch, proficiency in programming languages such as Python, and familiarity with cloud platforms and model deployment tools are typically required. Strong problem-solving skills, adaptability, and clear communication help professionals excel in dynamic project environments and collaborate with diverse stakeholders. These competencies ensure the effective design, implementation, and delivery of advanced AI solutions that meet client needs and industry standards.

What are some common challenges faced by professionals in a contract generative AI role, and how can they be addressed?

Professionals working in contract Generative AI roles often encounter challenges such as rapidly adapting to new project requirements, integrating with existing client teams, and staying updated with the latest advancements in AI models and tools. Because contract positions may have tight deadlines and shifting priorities, effective communication and proactive project management are essential. Building a strong portfolio, maintaining up-to-date technical skills, and fostering collaborative relationships with client stakeholders can help address these challenges and lead to successful project outcomes.

What is the difference between Contract Generative Ai vs Data Scientist?

AspectContract Generative AiData Scientist
Required CredentialsTypically a background in AI, machine learning, or computer science; certifications in AI tools are commonDegree in data science, statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentProject-based, often freelance or temporary contracts, working with AI models and toolsFull-time or consulting roles within organizations, analyzing data to inform decisions
Employer & Industry UsageTech companies, AI startups, research institutions focusing on AI model deploymentVarious industries including finance, healthcare, tech, and marketing, focusing on data analysis

Contract Generative Ai specialists focus on developing and deploying AI models on a contractual basis, often working with specific projects. Data Scientists analyze data to extract insights, typically in a full-time role. While both roles require technical expertise, Contract Generative Ai professionals are more specialized in AI model creation, whereas Data Scientists focus on data analysis and interpretation.

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Contract Generative Ai jobs near you
Infographic showing various Contract Generative Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $106,034 per year, or $51 per hour.

Engagement Manager - Generative AI Implementations

Randstad Digital

San Francisco, CA • On-site

$75.33 - $85.33/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 2 days ago

New

Job description

job summary:

We are seeking an Engagement Manager to oversee complex, multi-faceted Generative AI technology implementations. In this role, you will lead end-to-end delivery teams, manage project governance, and ensure projects achieve key business objectives. You will act as a pivotal bridge between business leadership, engineering teams, and enterprise client stakeholders.


location: Telecommute
job type: Contract
salary: $75.33 - 85.33 per hour
work hours: 8am to 5pm
education: Bachelors
responsibilities:
  • Oversee implementation projects throughout the full lifecycle, from initiation and scheduling to execution and closure.
  • Drive project governance, manage risks, and facilitate key decision-making processes across client stakeholders.
  • Deliver regular, structured project status updates and performance reporting to key leaders.
  • Ensure successful user adoption, value realization, and smooth knowledge transfer at project conclusion.

qualifications:

Bachelor's degree in an IT-related field or Engineering.


5+ years of experience leading complex enterprise IT implementation projects.


2+ years of experience specifically delivering Generative AI solution implementations.


Strong leadership, project governance, risk mitigation, and stakeholder management abilities.


PREFERRED QUALIFICATIONS


PMP, PMI-ACP, or Scrum Master certification.


Direct experience with Agile/Scrum delivery methodologies and specialized implementation frameworks.


Proven track record in client-facing, cross-functional consulting environments.


skills:

AI,Generative AI solutions,Generative AI,Enterprise IT,Agile / Scrum,ScrumMaster,detail-oriented,effective decision-making,leadership,proactively,business communication,business objectives,Project Management Professional (PMP),Certified ScrumMaster (CSM),project execution,delivery methodologies,Project Delivery,governance,IT Project Management,PMI-ACP,project governance,Project Management,project scope,risks,schedules,scheduling,technical implementations,business value



Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Qualified applicants in San Francisco with criminal histories will be considered for employment in accordance with the San Francisco Fair Chance Ordinance.
Qualified applicants 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.
We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.

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