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Temp Artificial Intelligence Machine Learning Jobs in Dallas, TX

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... Artificial Intelligence (AI)/Machine Learning (ML) models Essential Duties & Responsibilities Research, analyze, support, and implement machine learning solutions on the Snowflake Cloud data ...

Epsilon

Artificial Intelligence Engineer

Irving, TX

$73K - $136K/yr

Design, develop, and deploy machine learning and AI models that are reliable, scalable, and ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

ConnectedX, Inc.

ML Engineer

Plano, TX · On-site

Required Qualifications : · Bachelor''s or Master''s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. · Strong proficiency in Python ...

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

OPT, H-1B, , or other valid US work authorization Job Summary We are seeking a motivated AI/ML Engineer to design, develop, train, and deploy machine learning and artificial intelligence solutions.

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

As of Aug 12, 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 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 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.

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 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.
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:
Temp Artificial Intelligence Machine Learning jobs near you
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.

Machine Learning Engineer

Confie

Addison, TX • On-site, Remote

$110K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Job description

Pay Range:
  • $110000 - $130000 / year

Our Perks & Benefits:_
  • Comprehensive benefits package including medical, dental, vision, and life insurance
  • Performance-based bonuses to reward your contributions*
  • Paid time off to recharge and maintain a healthy work-life balance
  • Flexible work options, including remote and hybrid opportunities, if eligible
  • Retirement Plan (401k) with company-matched contributions
  • Education Advancement, for employees and qualified dependents, via the Confie Enablement Scholarship Fund
  • Fitness Reimbursement - up to $15/month for gym memberships
  • Inclusive workplace through a strong commitment to Diversity, Equity, and Inclusion
  • Employee Assistance Program - confidential support for personal or professional challenges, at no cost
  • Extra Perks - optional plans for disability, hospital indemnity, health advocate program, universal life, critical illness, accident insurance, and even pet insurance

Purpose
Work under the guidance and supervision of the Director, Enterprise Architecture to build supervised and unsupervised Artificial Intelligence (AI)/Machine Learning (ML) models
Essential Duties & Responsibilities
Research, analyze, support, and implement machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark framework
Develop novel solutions using knowledge of the latest artificial intelligence/machine learning/natural language processing techniques and rigorous statistical analysis
Utilize LLMs and Generative AI to provide software automation capability integrations
Build and operationalize Retrieval Augmented Generation (RAG) frameworks
Enhance, develop, and deploy production-level machine learning models and algorithms that will improve Confie's business outcome/customer experience
Perform data cleansing, analysis, and feature engineering using Python
Ability to work with multiple data sources and types (structured/semi-structured/unstructured)
Assess the effectiveness and accuracy of new data sources and execute data-wrangling techniques
Participate and support other teams, as needed, for all aspects of model development, including design, model implementation, validation, calibration, documentation, product implementation, monitoring, and reporting
Communicate technical results in a clear, concise, and effective manner with emphasis on data visualization techniques
Collaborate with Data Scientists, Data Engineers, and Data Architects on production systems and applications
Stay up-to-date with industry trends and advancements in artificial intelligence/machine learning
On call support
Qualifications and Education Requirements
Master's degree in a quantitative/applied field (Engineering, Computer Science, Data Science, Operations Research, Mathematics, Statistics, Econometrics)
Expertise in manipulating and analyzing large data (e.g. exploratory analysis, model fitting, and visualization)
Proficient SQL skills and experience working with large data sets (big data, IoT data)
Proficient with programming and modeling using Python
Knowledge of modeling in pre-training & fine tuning foundation LLM models
Knowledge of LangChain and sentence transformer frameworks
Knowledge of ChatGPT4 (or comparable models)
Experience applying current machine learning techniques
Knowledge of evolving data science concepts and best practices
Other Duties
This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Notice
As permitted by applicable law and from time-to-time, Confie may use a computer system that has elements of artificial intelligence to help make decisions about your employment, including recruitment, hiring, renewal of employment, or the terms and conditions of your employment. Employees with questions about Confie's use of these computer systems should contact Human Resources at employeerelations@confie.com
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.
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About Confie

Sourced by ZipRecruiter

Industry

Insurance services

Company size

1,001 - 5,000 Employees

Headquarters location

Huntington Beach, CA, US

Year founded

2008

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