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Remote Science Jobs in Milwaukee, WI (NOW HIRING)

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Review and interpret scientific literature to provide contextually accurate and current insights

Domain Expert - (STEM PhD)

Milwaukee, WI ยท Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Review and interpret scientific literature to provide contextually accurate and current insights

The work environment will consist of both urban and remote field settings, which may include work ... Bachelor's degree or higher in Biology, Ecology, Soil Science, Hydrology, Environmental Science ...

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Showing results 1-20

Remote Science information

See Milwaukee, WI salary details

$24.1K

$47.7K

$77.8K

How much do remote science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote science in Milwaukee, WI is $47,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,900.00 and $51,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in remote science roles, and how can they be addressed?

Professionals in remote science roles often face challenges such as effective communication across time zones, limited access to lab equipment, and maintaining collaboration with team members. To address these issues, it is helpful to establish regular virtual check-ins, utilize collaborative digital tools, and set clear expectations for project milestones. Many teams also adopt cloud-based data sharing and remote access to specialized software, ensuring that scientific work continues smoothly despite physical distance.

How to make $1000 a week remote?

Remote science jobs such as research analyst, data scientist, or laboratory technician can pay $1000 or more weekly, especially with specialized skills, certifications, or experience. Earning this amount often requires consistent work, advanced knowledge in the field, and proficiency with tools like statistical software or laboratory equipment.

What is the difference between Remote Science vs Remote Data Analyst?

AspectRemote ScienceRemote Data Analyst
Required CredentialsScience degrees, research experience, technical skillsStatistics, data analysis certifications, technical skills
Work EnvironmentResearch labs, academic institutions, remote research projectsBusiness, finance, tech companies, remote data analysis roles
Employer & Industry UsageUniversities, research institutes, biotech firmsCorporations, consulting firms, tech startups
Search & Comparison IntentUnderstanding research roles, scientific projectsData analysis tasks, business insights

Remote Science and Remote Data Analyst roles share a focus on technical skills and remote work environments. However, Remote Science typically involves research, scientific experiments, and academic or biotech settings, while Remote Data Analysts focus on interpreting data for business insights in corporate environments. Both roles require analytical skills but differ in industry application and specific credentials.

What jobs pay $500,000 a year in the US?

In the field of remote science roles, high-paying positions such as senior research scientists, data science directors, or chief scientific officers can reach or exceed $500,000 annually, especially in industries like pharmaceuticals, biotechnology, or tech companies. These roles typically require advanced degrees, extensive experience, and strong expertise in data analysis, laboratory management, or scientific strategy. Compensation often includes base salary, bonuses, and stock options, particularly in large organizations or startups with significant funding.

What are remote science jobs?

Remote science jobs are positions in scientific fields that can be performed outside of traditional laboratory or office environments, typically from home or any location with internet access. These jobs may include roles in research, data analysis, scientific writing, consulting, or education. Advances in technology and communication tools have made it possible for scientists to collaborate, conduct experiments, and analyze data remotely. Remote science jobs offer flexibility and can help employers and employees reach a broader talent pool. Common areas include biology, chemistry, environmental science, and healthcare research.

How can I make $100,000 a year working from home?

Remote science roles such as data scientists, research analysts, or scientific consultants can reach a $100,000 annual salary by gaining advanced degrees, developing specialized skills, and building a strong portfolio. These positions often require proficiency in programming, statistical tools, and industry-specific knowledge, and may involve freelance consulting or working for established organizations remotely.

What are the key skills and qualifications needed to thrive as a Remote Science professional, and why are they important?

To thrive as a Remote Science professional, you need a strong background in your scientific discipline, analytical skills, and typically a relevant degree or higher qualification. Familiarity with data analysis tools, virtual collaboration platforms, and scientific software such as Python, R, or MATLAB is important. Excellent written communication, time management, and self-motivation are standout soft skills in this remote environment. These abilities ensure effective research, collaboration, and productivity while working independently from various locations.

What science jobs are remote?

Remote science jobs include roles such as research scientists, data analysts, laboratory technicians, and scientific writers. These positions often require skills in data analysis, scientific software, and strong communication, and may involve collaboration through virtual tools and platforms.
What are the most commonly searched types of Science jobs in Milwaukee, WI? The most popular types of Science jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Remote Science jobs? Cities near Milwaukee, WI with the most Remote Science job openings:
Infographic showing various Remote Science job openings in Milwaukee, WI as of July 2026, with employment types broken down into 81% Full Time, 10% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $47,677 per year, or $22.9 per hour.
AI Safety Engineer (Red Teaming) - Remote

AI Safety Engineer (Red Teaming) - Remote

micro1 AI

Milwaukee, WI โ€ข Remote

$50 - $90/hr

Part-time

Posted 14 days ago


Job description

Role Title: AI Jailbreak & Prompt-Injection Security Expert


Role Type: Contractor


Location: Remote


micro1 is engaging AI Jailbreak & Prompt-Injection Security Experts to contribute to a cutting-edge customer initiative focused on AI safety and robustness. 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 โ€” your domain knowledge is what matters.


Scope of Work

  1. Design and implement advanced methodologies for evaluating AI system safety, focusing on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse scenarios.
  2. Create comprehensive cross-domain elicitation strategies to uncover multi-turn and complex adversarial bypass patterns in AI models.
  3. Develop, maintain, and update regression test suites that systematically test for jailbreak susceptibility and prompt-injection vulnerabilities.
  4. Construct robust evaluation frameworks that stress-test AI models against real-world adversarial threats, aiming to enhance overall system robustness.
  5. Collaborate with technical stakeholders to translate security findings into actionable improvements for model safety and risk mitigation.
  6. Document methodologies, findings, and best practices in clear, well-structured written reports and presentations for both technical and non-technical audiences.


Preferred Qualifications

  1. 2+ years of expertise in adversarial machine learning, LLM red teaming, AI safety evaluation, or a closely related security domain
  2. Proven experience researching, testing, or uncovering vulnerabilities related to ethical jailbreaks, prompt injection, tool-use abuse, or adversarial AI attacks.
  3. Advanced degree (PhD, MS) in computer science, cybersecurity, machine learning, or a relevant discipline, or equivalent operational/professional background.
  4. High credibility and recognition within the AI security or adversarial ML communityโ€”such as published research, open-source tools, or conference presentations.
  5. Exceptional written and verbal communication skills, with a strong focus on clear documentation and collaborative problem-solving.
  6. Prior participation in multi-disciplinary projects or cross-functional AI safety initiatives is a plus.
  7. Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools is highly desirable.