ZipRecruiter

Log In

1

Contract Machine Learning Startup Jobs in Union, SC

DISHER

Vision Engineer

Spartanburg, SC · Remote

Be responsible for projects from technical specification to startup support. * Develop contingency ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

DISHER

Vision Engineer

Spartanburg, SC · Remote

Be responsible for projects from technical specification to startup support. * Develop contingency ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

AFL

Products Accounting Manager

Duncan, SC · On-site

Ensure copies of customer contracts and modifications are obtained from the business leaders and ... machine learning tools. * Provide monthly reports to VP Corporate Controller and Assistant ...

Adidas

Routing Analyst

Spartanburg, SC · On-site

Understanding of data mining, machine learning, and advanced analytics a plus. * Experience with ... US Contract Type: Full time Number: 547698 Date: Aug 11, 2026

New

HDVI

Liability Adjuster

Spartanburg, SC · On-site +1

Maintain current knowledge of insurance contracts and industry trends by proactively maintaining ... Willingness to look outside your day to day to ensure you keep learning and growing in a startup ...

HDVI

Physical Damage Adjuster

Spartanburg, SC · On-site +1

Maintain current knowledge of insurance contracts and industry trends by proactively maintaining ... Willingness to look outside your day to day to ensure you keep learning and growing in a startup ...

All JobsContract Machine Learning Startup JobsContract Machine Learning Startup Jobs in Union, SC

Contract Machine Learning Startup information

See Union, SC salary details

$26

$43

$88

How much do contract machine learning startup jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for contract machine learning startup in Union, SC is $43.62, according to ZipRecruiter salary data. Most workers in this role earn between $36.63 and $45.24 per hour, depending on experience, location, and employer.

What is a contract machine learning startup?

A Contract Machine Learning Startup is a company or team that provides machine learning solutions and services to clients on a contract basis. Instead of developing their own products, these startups typically work with other businesses to build custom machine learning models, analyze data, and help integrate AI technologies into existing workflows. They may offer expertise in areas such as natural language processing, computer vision, or predictive analytics, and usually operate on short-term or project-based contracts. This approach allows client companies to access specialized knowledge without hiring full-time data scientists or engineers.

What are the key skills and qualifications needed to thrive in a contract machine learning startup role?

Success in a Contract Machine Learning Startup role generally requires expertise in machine learning algorithms, data analysis, and a solid background in computer science or related fields. Familiarity with programming languages such as Python or R, experience with ML frameworks like TensorFlow or PyTorch, and knowledge of cloud platforms (e.g., AWS, GCP) are typically expected. Strong problem-solving, adaptability, and effective communication help professionals collaborate with clients and respond to rapidly changing project requirements. These skills and qualities are vital to deliver innovative, scalable solutions in fast-paced, outcome-driven startup environments.

What are some common challenges faced by machine learning professionals working on a contract basis at startups?

Machine learning professionals working as contractors at startups often face challenges such as rapidly changing project scopes, limited access to large datasets, and the need to quickly adapt to new tools and frameworks. Startups typically move fast, so contractors must be comfortable with ambiguity and prioritize delivering value in short timeframes. Additionally, they may need to collaborate closely with cross-functional teams, such as product managers and engineers, to ensure that machine learning solutions align with business goals.

What is the difference between Contract Machine Learning Startup vs Data Scientist?

AspectContract Machine Learning StartupData Scientist
CredentialsRelevant degrees, certifications in ML/AITypically similar credentials, often with advanced degrees
Work EnvironmentProject-based, startup setting, flexible hoursOffice or remote, corporate or research settings
Employer & IndustryStartups in tech, AI, or data-driven sectorsVaried industries including tech, finance, healthcare
Search & Comparison IntentUnderstanding contract roles in ML startupsExploring data science career options

Contract Machine Learning Startup roles focus on short-term, project-based work within startup environments, often requiring specialized skills in ML and AI. Data Scientists typically work in more established companies or research settings, with similar credentials but often in a full-time capacity. Both roles demand strong technical backgrounds, but contract roles offer flexibility and varied projects, while Data Scientists may have more stability and broader responsibilities.

What cities near Union, SC are hiring for Contract Machine Learning Startup jobs?

Cities near Union, SC with the most Contract Machine Learning Startup job openings:

Contract Machine Learning Startup jobs near you

Vision Engineer

DISHER

Spartanburg, SC • Remote

Full-time

Re-posted 3 days ago

Job description

Vision Engineer – Remote / Travel
 
DISHER is currently partnering with a world leading automation company that specializes in groundbreaking technologies for flawlessly manufacturing millions of products. They have been awarded year after year as a great place to work and one of the "World's Most Admired Companies".
 
What it's like to work here:
Their team is the secret to their success. They are empowered, inventive, and inclusive. This company champions their teams, foster collaborations, inclusion, respect, and excellence. Working with this company, you will drive innovation with new advancements in industry. You will have opportunity for future training to broaden skills and be a part of a team of experts to drive solutions that improve efficiencies, safety, and quality. You will work with multiple assembly plants and integrator. If you are passionate about your craft and are driven to succeed, this could be the place for you!
What you will get to do:
  • Design and develop all aspects of vision control systems, equipment, and programming using high standards and build upon with innovative ideas.
  • Write, implement, and debug PLC software.
  • Provide support to existing vision equipment globally.
  • Follow health, safety, environmental regulations, and safety protocols, (LOTO).
  • Build mutual trust, respect, and cooperation among all team members.
  • Communicate across cross-functional groups.
  • Be responsible for projects from technical specification to startup support.
  • Develop contingency and disaster recovery plans.
  • Create training documentation.
What will make you successful:
  • Three years of experience in a controls/vision engineering role.
  • Must be a self-starter, team player, work well with others, and have a positive attitude.
  • Must be a creative thinker, results oriented, focused, and attentive to detail and accuracy.
  • Proficient in RSLogix5000, Studio5000, and FactoryTalk View Studio.
  • Knowledgeable of Keyence & Cognex cameras.
  • Must have ability to prioritize, multi-task and meet deadlines.
  • C+ or C++ Programming capabilities.
  • Knowledge on machine learning with AI capabilities.
  • Self-driven and willingness to work long hours during installations, if required.
  • Willingness to travel globally – up to 30-50%.

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.