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Temp Artificial Intelligence Machine Learning Jobs in Flint, MI

... learning and advancement We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and ...

Parts Runner

White Lake, MI · On-site

$18 - $20/hr

... learning and advancement We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and ...

Parts Runner

White Lake, MI · On-site

$18 - $20/hr

... learning and advancement We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and ...

Showing results 21-40

Temp Artificial Intelligence Machine Learning information

See Flint, MI salary details

$13

$25

$47

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

As of Aug 23, 2026, the average hourly pay for temp artificial intelligence machine learning in Flint, MI is $25.63, according to ZipRecruiter salary data. Most workers in this role earn between $20.82 and $27.12 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.

Inside Sales Representative

Social Influence LLC

Flint, MI • On-site

$45K - $50K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago


Job description

We're looking for a motivated, enthusiastic, and coachable Inside Sales Representative to join our team. This entry-level role is ideal for someone early in their sales career who's eager to learn, grow, and make an immediate impact.
The primary focus of this role is reaching out to franchisees within large national franchise systems to educate and enroll them in recurring direct mail programs-monthly, quarterly, or seasonal campaigns that are typically opt-in and franchisee-funded. These are turnkey marketing programs that have already been approved at the brand level and simply need local participation.
In addition, this role will support outbound prospecting and appointment-setting efforts around trade shows and other initiatives designed to grow new client relationships.
Key Responsibilities:
Franchisee Outreach & Enrollment:
Call and email franchisees to promote participation in PrintComm's brand-approved direct mail programs
Explain program benefits, pricing, and enrollment processes clearly and effectively
Follow up with interested contacts and assist in onboarding
Appointment Setting & Lead Generation:
Schedule sales appointments with prospects from large retail/franchise organizations
Support trade show efforts by reaching out to pre- and post-show contact lists
CRM Management & Sales Coordination:
Accurately log outreach activity, notes, and statuses in CRM (HubSpot, Salesforce, etc.)
Collaborate with Enterprise Sales Executives and Marketing to ensure message consistency and campaign effectiveness
Learning & Development:
Participate in regular training and coaching sessions
Develop knowledge of PrintComm's direct mail strategies, capabilities, and vertical markets
Qualifications:
0-3 years of sales, marketing, or customer service experience
Strong verbal and written communication skills
Comfortable making outbound calls and managing objections
Friendly, enthusiastic, and highly organized
Compensation & Perks:
Competitive base salary
Performance-based commissions and bonuses
Health, dental, and vision insurance
401(k) with company match
Paid time off and holidays
Ongoing coaching and career advancement opportunities
$45,000 - $50,000 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.