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Freelance Scientific Reviewer Jobs in Chicago, IL

Computer Engineering

Chicago, IL · Remote

$35 - $60/hr

Masters (pursuing or completed) or PhD in Computer Engineering, Computer Science with a hardware ... Freelance perks: autonomy, flexibility, and global collaboration. * Potential for contract ...

Health Policy & Management

Chicago, IL · Remote

$111.30K - $120K/yr

... scientific consensus, ethical standards, and real-world complexity. This is a fully remote ... Author Ground-Truth Solutions - Develop rigorous, step-by-step responses grounded in peer-reviewed ...

... agency partners, freelancers, and more. The Manager will also identify usage rights for User ... Initiatives to include improved DAM keyword accuracy, content review workflows, tagging, rights ...

... agency partners, freelancers, and more. The Manager will also identify usage rights for User ... Initiatives to include improved DAM keyword accuracy, content review workflows, tagging, rights ...

Senior Data Engineer

Chicago, IL · On-site

$88K - $103K/yr

Mentor and train junior data engineers through code reviews, technical coaching, and knowledge ... Qualifications Bachelor's degree in Information Technology, Computer Science, Engineering, or a ...

Senior Data Engineer

Chicago, IL · On-site

$88K - $103K/yr

Mentor and train junior data engineers through code reviews, technical coaching, and knowledge ... Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field ...

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Showing results 1-20

Freelance Scientific Reviewer information

What are the key skills and qualifications needed to thrive as a Freelance Scientific Reviewer, and why are they important?

To thrive as a Freelance Scientific Reviewer, you need an advanced degree in a scientific discipline, strong analytical skills, and extensive knowledge of research methodologies. Familiarity with literature databases, reference management tools, and journal submission systems such as ScholarOne or Editorial Manager is typically required. Excellent written communication, critical thinking, and time management are vital soft skills for providing constructive feedback and meeting deadlines. These abilities ensure the delivery of thorough, unbiased, and timely reviews that uphold the quality of scientific publications.

What are some common challenges faced by Freelance Scientific Reviewers, and how can they be managed?

Freelance Scientific Reviewers often encounter challenges such as managing tight deadlines, keeping up with developments across multiple scientific fields, and maintaining clear communication with journal editors and authors. To address these, it’s important to set realistic schedules, continuously update subject knowledge, and develop strong organizational skills. Building a network with other reviewers and participating in reviewer training programs can also help navigate complex manuscripts and evolving review standards, ensuring high-quality and timely feedback.

What are Freelance Scientific Reviewers?

Freelance Scientific Reviewers are independent professionals who evaluate scientific manuscripts, articles, or research proposals for accuracy, validity, and quality before publication or funding. They work with academic journals, publishers, or organizations on a contract basis rather than as full-time employees. Their main responsibilities include assessing the methodology, data, and conclusions of scientific work, providing constructive feedback to authors, and ensuring that publications meet established scientific standards. This role requires expertise in specific scientific fields, critical thinking skills, and attention to detail. Freelance reviewers often manage their own schedules and work with multiple clients simultaneously.

What is the difference between Freelance Scientific Reviewer vs Scientific Writer?

AspectFreelance Scientific ReviewerScientific Writer
CredentialsTypically requires advanced degrees (PhD, MSc)Often requires similar credentials, but may also include professional writing experience
Work EnvironmentRemote, project-based, often contract workRemote or in-house, project or content-based
Employer & Industry UsageUsed by journals, publishers, research institutionsUsed by publishers, research organizations, companies
Search & Comparison IntentCompare roles in peer review processCompare roles in scientific communication

The main difference is that Freelance Scientific Reviewers focus on evaluating research quality and validity, while Scientific Writers create content based on scientific data. Both roles often require advanced degrees and are common in research and publishing industries, but they serve different functions in the scientific communication process.

What are the most commonly searched types of Scientific Reviewer jobs in Chicago, IL? The most popular types of Scientific Reviewer jobs in Chicago, IL are:
What are popular job titles related to Freelance Scientific Reviewer jobs in Chicago, IL? For Freelance Scientific Reviewer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Freelance Scientific Reviewer jobs in Chicago, IL look for? The top searched job categories for Freelance Scientific Reviewer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Freelance Scientific Reviewer jobs? Cities near Chicago, IL with the most Freelance Scientific Reviewer job openings:

Computer Engineering

Alignerr

Chicago, IL • Remote

$35 - $60/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Computer Engineering - AI Data Trainer
  • Location: Remote
About the job
At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.
You'll challenge advanced language models on topics like computer architecture and hardware design, embedded systems and IoT, networking and distributed systems, hardware security, and systems software and operating systems-documenting every failure mode so we can harden model reasoning.
Organization
: Alignerr
Position
: Computer Engineering - AI Data Trainer
Type
: Hourly Contract
Compensation
: $35-$60 /hour
Location
: Remote
Commitment
: 10-40 hours/week
What You'll Do:
  • Develop Complex Problems: Design advanced computer engineering challenges across domains like RISC-V/ARM architecture, FPGA development, memory management, and hardware-software co-design.
  • Author Ground-Truth Solutions: Create rigorous, step-by-step technical solutions, including assembly code, hardware description language (HDL) snippets, and architectural diagrams that serve as "golden responses" for AI training.
  • Technical Auditing: Evaluate AI-generated code (C/C++, Verilog, VHDL), logic gate designs, and operating system kernels for technical accuracy, efficiency, and adherence to industry standards.
  • Refine Reasoning: Identify logical fallacies in AI reasoning-such as race conditions, memory leaks, or improper timing constraints-and provide structured feedback to improve the model's "thinking" process.
Requirements:
  • Advanced Degree: Masters (pursuing or completed) or PhD in Computer Engineering, Computer Science with a hardware focus, or a closely related field.
  • Domain Expertise: Strong foundational knowledge in core areas such as Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
  • Analytical Writing: The ability to communicate highly technical hardware concepts and low-level software logic clearly and concisely in written form.
  • Attention to Detail: High level of precision when checking bit-level operations, clock-cycle timing, and technical documentation.
  • No AI experience required
Preferred
:
  • Prior experience with data annotation, data quality, or evaluation systems
  • Proficiency in engineering software concepts (e.g., SolidWorks, MATLAB, ANSYS) to evaluate AI-generated code or workflows.
Why Join Us:
  • Competitive pay and flexible remote work.
  • Collaborate with a team working on cutting-edge AI projects.
  • Exposure to advanced LLMs and how they're trained.
  • Freelance perks: autonomy, flexibility, and global collaboration.
  • Potential for contract extension.
Application Process (Takes 15-20 min)
  • Submit your resume
  • Complete a short screening
  • Project matching and onboarding

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.