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Temp Artificial Intelligence Machine Learning Jobs in Dallas, TX

Artificial Intelligence * Machine Learning * Generative AI * Large Language Models (LLMs) * Agentic AI * Multi-agent systems * Retrieval-Augmented Generation (RAG) * Intelligent automation * Design ...

New

Machine Learning Developer

Dallas, TX · On-site

$115K - $140K/yr

The company is expanding its artificial intelligence and machine learning capabilities and offers a collaborative environment where employees are trusted to take ownership, contribute ideas, and ...

Machine Learning Developer

Dallas, TX · On-site

$115K - $140K/yr

The company is expanding its artificial intelligence and machine learning capabilities and offers a collaborative environment where employees are trusted to take ownership, contribute ideas, and ...

... artificial intelligence solutions to drive data-informed decision-making across the enterprise ... Strategic Leadership and Vision Provide strategic direction for the organization's machine learning ...

... artificial intelligence solutions to drive data-informed decision-making across the enterprise ... Strategic Leadership and Vision Provide strategic direction for the organization's machine learning ...

Showing results 41-60

Temp Artificial Intelligence Machine Learning information

See Dallas, TX salary details

$13

$26

$48

How much do temp artificial intelligence machine learning jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for temp artificial intelligence machine learning in Dallas, TX is $26.06, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $27.60 per hour, depending on experience, location, and employer.

What is a Temp Artificial Intelligence Machine Learning?

Temp Artificial Intelligence Machine Learning jobs are temporary positions focused on developing, testing, or implementing AI and machine learning solutions. These roles often involve tasks such as data analysis, model training, algorithm development, and assisting with AI projects on a contractual or short-term basis. Employers typically seek candidates with programming skills, knowledge of ML frameworks, and an understanding of data science concepts. Temp AI/ML jobs are a great way to gain experience in the field, work on innovative projects, and potentially transition into permanent roles.

What are the key skills and qualifications needed to thrive as a Temp Artificial Intelligence Machine Learning specialist?

To thrive as a Temp Artificial Intelligence Machine Learning specialist, you need a strong background in mathematics, statistics, programming (commonly Python), and experience with machine learning algorithms, supported by a relevant degree or certifications. Familiarity with tools such as TensorFlow, PyTorch, Scikit-learn, and cloud platforms like AWS or Azure is typically required. Analytical thinking, adaptability, and effective communication are crucial soft skills for problem-solving and collaborating with diverse teams. These competencies enable you to rapidly contribute to complex projects, develop effective models, and align solutions with organizational goals in dynamic environments.

How does a Temp Artificial Intelligence Machine Learning professional typically collaborate with permanent team members on projects?

Temp AI/ML professionals often work closely with permanent team members to quickly integrate into ongoing projects and contribute specialized expertise. They usually participate in daily stand-up meetings, collaborate on code reviews, and share findings from their data analyses to ensure alignment with the team's goals. Effective communication and adaptability are key, as temp professionals may be assigned to high-priority tasks or fill knowledge gaps within the team. This collaborative environment enables temporary staff to make meaningful contributions while gaining valuable experience with diverse workflows and technologies.

What is the difference between Temp Artificial Intelligence Machine Learning vs Data Analyst?

AspectTemp Artificial Intelligence Machine LearningData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of ML frameworksBachelor's in Statistics, Math, or related; proficiency in data visualization tools
Work EnvironmentTech companies, R&D labs, startups; project-based rolesBusiness settings, finance, marketing; focus on data interpretation
Industry UsageAI/ML development, research, product teamsBusiness intelligence, reporting, decision-making

Temp Artificial Intelligence Machine Learning roles focus on developing and implementing AI models, requiring technical skills in ML frameworks. Data Analysts interpret data to inform business decisions, often using visualization tools. While both roles work with data, AI/ML positions are more technical and research-oriented, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Dallas, TX?

The most popular types of Artificial Intelligence Machine Learning jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Temp Artificial Intelligence Machine Learning jobs?

Cities near Dallas, TX with the most Temp Artificial Intelligence Machine Learning job openings:

Infographic showing various Temp Artificial Intelligence Machine Learning job openings in Dallas, TX as of July 2026, with employment types broken down into 5% Internship, 74% Full Time, 5% Part Time, 5% Temporary, and 11% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $54,213 per year, or $26.1 per hour.

Senior Manager - Applied Machine Learning - Vice President

JP Morgan Chase

Plano, TX • On-site

Full-time

Medical, Retirement

Posted 8 days ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 174 rated banks


Job description

Join a team that partners across the enterprise to solve high-impact, data-intensive problems with decision science and machine learning. You will lead work that turns ambiguous, unstructured questions into practical solutions that improve how decisions get made. This role combines hands-on technical leadership with strong stakeholder partnership to deliver measurable outcomes. If you thrive in complexity and enjoy building scalable products, you will find a strong platform to grow your impact here.

As a Senior Manager, Applied Machine Learning - Vice President at JPMorganChase within the Consumer and Community Banking (CCB) Data Science organization, you will partner with business leaders to identify and solve complex, high-impact problems using machine learning and advanced analytics. You will lead the end-to-end delivery of solutions from problem framing and experimentation through production deployment and monitoring. You will guide teams to develop scalable approaches that support faster, more informed decision-making across enterprise functions. You will influence prioritization, timelines, and delivery by communicating tradeoffs, results, and next steps to senior stakeholders.

Job Responsibilities

  • Define the data science vision, strategy, structure and roadmap for the organization.
  • Manage a team of highly-capable and independent sole contributors with additional potential to manage other leaders, along with mentor, coach and grow people earlier in their careers in this role.
  • Attract, develop and retain data science talent to ensure the team continues to enhance its value to the company.
  • Oversee the design and development of Machine Learning, Artificial Intelligence and Statistical models.
  • Ensure the robustness of any data science solution.
  • Develop and communicate recommendations and data science solutions in an easy-to-understand way, leveraging data to tell a story.
  • Lead and persuade others while positively influencing the outcome of team efforts and help frame a business problem into a technical problem resulting in a feasible solution.

Required qualifications, capabilities and skills

  • Master's Degree with 8+ years or Doctorate (PhD) with 6+ years of experience operating as a data science professional (e.g. data scientist, statistician, or related professions) in a quantitative field: Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, and related disciplines.
  • 5+ years of direct people leadership experience.
  • Hands-on experience developing statistical models, machine learning models, and/or artificial intelligence models.
  • Deep understanding of math and theory behind AI/ML algorithms, with the ability to reason about model assumptions, behavior, and limitations beyond empirical validation.
  • Proficient in data science programming languages like Python, R or Scala.
  • Experience with big-data technologies such as Hadoop, Spark, SparkML, etc. & familiarity with basic data table operations (SQL, Hive, etc.).
  • Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence

Preferred qualifications, capabilities and skills

  • Advanced expertise with Time Series, Optimization, and Operations Research techniques applicable to business planning, resource allocation, and organizational decision-making problems.
  • Natural Language Processing (NLP) / Natural Language Generation (NLG), Neural Nets, or other ML/AI skills.
  • Prior experience with public cloud technologies such as Amazon Web Services (AWS), Azure or Google Cloud Platform (GCP).
  • Previous experience leading highly complex cross-functional technical projects with multiple stakeholders across diverse lines of business and enterprise functions. 

This role is 5 days a week full time in the office.

This role is not eligible for visa sponsorship now or in the future. Sponsorship includes, but is not limited to, support for I-983 training plans,            F-1/OPT or CPT, H-1B, TN and any other employment authorization or immigration-related action requiring JPMorganChase sponsorship or intervention. 

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

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