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Computer Science Training Jobs in Minnesota (NOW HIRING)

DataAnnotation

Growth Analyst - AI Trainer

Virginia, MN · On-site +1

$60/hr

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...

Best Buy

Senior AI Scientist

Richfield, MN · On-site

$104.14K - $186.56K/yr

Derive complex features from large scale clickstream logs for model training data * Develop ... Bachelor's degree in a highly quantitative field (Computer Science, Engineering, Physics, Math ...

ZEISS

Computer Cell Technician

Maple Grove, MN · On-site

$50K - $62K/yr

As the pioneers of science, ZEISS handles the everchanging environments in a fast-paced world ... Must be able to develop technical training and/or procedure documentation for end-users. * Self ...

ZEISS

Computer Cell Technician

Minneapolis, MN

$50K - $62K/yr

As the pioneers of science, ZEISS handles the everchanging environments in a fast-paced world ... Must be able to develop technical training and/or procedure documentation for end-users. * Self ...

DataAnnotation

AI Training, Mathematics

Saint Paul, MN · Remote

$40/hr

Applied Math and/or Computer Science. Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects you want to work on You can work on your own schedule Projects ...

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$20.4K

$67.7K

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How much do computer science training jobs pay per year?

As of May 30, 2026, the average yearly pay for computer science training in Minnesota is $67,695.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,293.00 and $97,161.00 per year, depending on experience, location, and employer.

What is a Computer Science Training job?

A Computer Science Training job involves teaching or mentoring individuals in computer science concepts, programming, and related technologies. Professionals in this role may work in academic institutions, corporate training programs, or bootcamps to help students or employees develop technical skills. The job often includes designing curriculum, conducting lectures or hands-on coding sessions, and assessing learners' progress. Strong knowledge of programming languages, algorithms, and software development is typically required.

What are the key skills and qualifications needed to thrive in the Computer Science Training position, and why are they important?

To thrive in Computer Science Training roles, you need a solid background in computer science concepts, programming, and educational or instructional expertise, often supported by a relevant degree or professional certifications such as CompTIA, Microsoft Certified Educator, or instructional design credentials. Familiarity with learning management systems (LMS), online collaboration platforms, and coding tools like Python, Java, or C++ is commonly required. Strong communication, patience, and the ability to tailor complex technical information to diverse audiences are valuable soft skills in this field. These competencies are essential for effectively teaching and preparing learners for evolving industry demands.

What are some typical responsibilities of someone working in Computer Science Training?

Professionals in Computer Science Training are often responsible for designing and delivering curriculum, conducting hands-on programming workshops, assessing learners' progress, and updating course materials to reflect current industry trends. You may work closely with other instructors, HR training coordinators, or technical experts to align content with organizational or educational objectives. Collaboration with industry professionals and ongoing professional development are also common, as the technology landscape evolves quickly. This mix of technical and educational duties ensures that trainees gain practical, up-to-date skills needed for a successful tech career.
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Computer Science Training jobs near you
Growth Analyst - AI Trainer

Growth Analyst - AI Trainer

DataAnnotation

Virginia, MN • On-site, Remote

$60/hr

Full-time

Posted 18 days ago

Job description

Join the DataAnnotation team and contribute to developing cutting‐edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real‐world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state‐of‐the‐art AI models on tasks like evaluating AI‐generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full‐time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI‐generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data‐driven insights, for technical accuracy and real‐world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well‐documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end‐to‐end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #J-18808-Ljbffr

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