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Synthetic Data Generation Jobs in Minnesota (NOW HIRING)

Varsity Tutors

Organic Chemistry Tutor

Minneapolis, MN · Remote

$18 - $40/hr

... generation, and engagement features, helping you save prep time and focus on impactful teaching ... Guides students through structure determination from spectral data, multi-step synthesis planning ...

Varsity Tutors

Organic Chemistry Tutor

Edina, MN · Remote

$18 - $40/hr

... generation, and engagement features, helping you save prep time and focus on impactful teaching ... Guides students through structure determination from spectral data, multi-step synthesis planning ...

Varsity Tutors

Organic Chemistry Tutor

Saint Paul, MN · Remote

$18 - $40/hr

... generation, and engagement features, helping you save prep time and focus on impactful teaching ... Guides students through structure determination from spectral data, multi-step synthesis planning ...

Varsity Tutors

Claude Tutor

Minneapolis, MN · Remote

$18 - $40/hr

... generation, and engagement features, helping you save prep time and focus on impactful teaching ... synthesis, code review, writing feedback, and data interpretation. Emphasizes critical thinking ...

Varsity Tutors

Claude Tutor

Edina, MN · Remote

$18 - $40/hr

... generation, and engagement features, helping you save prep time and focus on impactful teaching ... synthesis, code review, writing feedback, and data interpretation. Emphasizes critical thinking ...

Varsity Tutors

Claude Tutor

Saint Paul, MN · Remote

$18 - $40/hr

... generation, and engagement features, helping you save prep time and focus on impactful teaching ... synthesis, code review, writing feedback, and data interpretation. Emphasizes critical thinking ...

Geologics

Advanced ASIC/FPGA Engineer

Bloomington, MN · On-site

$75 - $81/hr

Supports the generation of technical engineering products by using the appropriate standards ... Contributes to the research and analysis of data, such as customer design proposal specifications ...

Geologics

Advanced ASIC/FPGA Engineer

Bloomington, MN · On-site

$75 - $81/hr

Supports the generation of technical engineering products by using the appropriate standards ... Contributes to the research and analysis of data, such as customer design proposal specifications ...

University of Minnesota

Rsch Pro 3-Informatics

Minneapolis, MN · On-site

$29.26 - $32/hr

  • Medical

  • Dental

  • Life

  • Retirement

... data and output results for interpretation and hypothesis generation. This researcher will also ... Biology and Synthetic Biology and Biotechnology. We are housed in new buildings with ...

Stagwell Global LLC

Brand Strategist

Minneapolis, MN · On-site +1

Spot meaningful patterns across culture, data, and behavior, and develop insights that directly ... Integrate AI into workflow to increase speed and option generation; write effective prompts and ...

Colle Mcvoy

Brand Strategist

Minneapolis, MN · On-site

Spot meaningful patterns across culture, data, and behavior, and develop insights that directly ... Integrate AI into workflow to increase speed and option generation; write effective prompts and ...

Varsity Tutors

AP Biology Tutor

Saint Paul, MN · Remote

$18 - $40/hr

... generation, and engagement features, helping you save prep time and focus on impactful teaching ... synthesis, and signal transduction pathways. Guides students through experimental design, data ...

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Synthetic Data Generation information

What are the key skills and qualifications needed to thrive in synthetic data generation?

To excel in a Synthetic Data Generation role, you need a solid background in computer science, statistics, and data science, often supported by a relevant degree and experience in machine learning. Familiarity with tools such as Python, TensorFlow, PyTorch, and synthetic data generation platforms, as well as knowledge of privacy-preserving techniques, is typically required. Strong problem-solving abilities, creativity, and effective communication set top performers apart in this field. These skills and qualities are crucial for creating high-quality, realistic synthetic datasets that support robust AI model development while safeguarding sensitive information.

What is synthetic data generation?

Synthetic data generation is the process of creating artificial datasets that mimic real-world data. This technique is used to supplement or replace actual data for purposes such as machine learning, software testing, and research, especially when real data is scarce, sensitive, or costly to obtain. Synthetic data can help improve model accuracy, protect privacy, and enable innovation by providing diverse and unbiased datasets. It is commonly used in fields like healthcare, finance, and autonomous vehicles.

What is the difference between Synthetic Data Generation vs Data Analyst?

AspectSynthetic Data GenerationData Analyst
Required CredentialsKnowledge of data science, programming, and data privacyDegree in statistics, data science, or related field
Work EnvironmentData science teams, research labs, tech companiesBusiness environments, analytics teams, consulting firms
Industry UsageAI development, machine learning, data privacyBusiness insights, reporting, decision-making
Search & Comparison IntentUnderstanding data generation techniques, privacy solutionsAnalyzing data, generating reports, insights

While Synthetic Data Generation focuses on creating artificial data for privacy and model training, Data Analysts interpret existing data to provide business insights. Both roles require data-related skills but serve different purposes within the data ecosystem.

What are the main challenges faced by professionals working in synthetic data generation, and how can they be addressed?

Professionals in synthetic data generation often encounter challenges such as ensuring the generated data accurately represents real-world scenarios while maintaining privacy and data security. Balancing realism with anonymization is crucial, especially when synthetic data is used for AI model training or testing. Collaboration with data scientists, domain experts, and privacy officers is common to validate data utility and compliance with regulations. Staying current with advances in generative models and data validation techniques also helps address these challenges and contributes to career growth in this rapidly evolving field.

What are popular job titles related to Synthetic Data Generation jobs in Minnesota?

For Synthetic Data Generation jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Synthetic Data Generation jobs in Minnesota look for?

The top searched job categories for Synthetic Data Generation jobs in Minnesota are:

What cities in Minnesota are hiring for Synthetic Data Generation jobs?

Cities in Minnesota with the most Synthetic Data Generation job openings:

Synthetic Data Generation jobs near you

Product Development Chemist - AI Trainer - Remote

micro1 AI

Minneapolis, MN • Remote

$70 - $90/hr

Part-time

Posted 18 days ago

Job description

Role Title: Chemistry Specialist


Role Type: Contractor


Location: Remote


micro1 is engaging Chemistry Specialists to participate in a project supporting a leading customer in the scientific and research domain. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Conduct qualitative and quantitative chemical analyses and experiments to support product development, quality control, or process optimization.
  2. Design and interpret complex laboratory experiments involving chemical reactions, synthesis, and separation techniques.
  3. Document laboratory methodologies, data, and findings clearly and accurately, ensuring reproducibility and scientific integrity.
  4. Critically evaluate experimental outcomes to propose improvements or new investigative approaches.
  5. Collaborate and communicate effectively in written and verbal formats with project stakeholders, providing insights and recommendations.
  6. Translate intricate chemistry concepts and experimental results into clear, actionable information for non-specialist audiences.
  7. Contribute domain-specific expertise to enhance the training datasets and reasoning capabilities of AI systems.


Preferred Qualifications

  1. Advanced degree (PhD preferred) in Chemistry or closely related field.
  2. Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.
  3. Deep understanding of chemical reactions, analytical chemistry, and laboratory best practices.
  4. Demonstrated critical thinking skills and a record of innovative problem-solving in research or applied chemistry settings.
  5. Strong written and verbal communication skills, with the ability to convey technical concepts clearly.
  6. Experience contributing to interdisciplinary projects or cross-functional collaborations.
  7. Familiarity with quality control protocols, safety standards, and regulatory guidelines is a plus.

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