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Remote Computer Forensics Analyst Jobs in Iowa (NOW HIRING)

DataAnnotation

Analytics Engineer - AI Trainer

Nevada, IA · On-site +1

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics ...

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Remote Computer Forensics Analyst information

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$61.1K

$95.5K

$146.5K

How much do remote computer forensics analyst jobs pay per year?

As of May 30, 2026, the average yearly pay for remote computer forensics analyst in Iowa is $95,497.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,400.00 and $114,600.00 per year, depending on experience, location, and employer.

What is a Remote Computer Forensics Analyst job?

A Remote Computer Forensics Analyst is a cybersecurity professional who investigates digital evidence to uncover cybercrimes, data breaches, or unauthorized system access. Working remotely, they analyze compromised devices, recover lost or deleted data, and follow forensic protocols to maintain the integrity of evidence. These professionals often collaborate with law enforcement, businesses, or legal teams to provide investigative reports and expert testimony. Their work requires proficiency in forensic tools, cyber investigation techniques, and a strong understanding of legal procedures related to digital evidence.

What are the key skills and qualifications needed to thrive in the Remote Computer Forensics Analyst position, and why are they important?

To excel as a Remote Computer Forensics Analyst, you need expertise in digital investigations, evidence handling, and a strong understanding of operating systems and cybersecurity principles, often supported by a relevant degree or certifications like GIAC, EnCE, or CFCE. Familiarity with forensic analysis tools such as EnCase, FTK, X-Ways, and network monitoring applications is essential. Outstanding analytical thinking, written communication, and attention to detail help professionals stand out, especially when presenting findings or collaborating with remote teams. Mastering these skills ensures accurate forensic investigations, credibility in legal settings, and effective teamwork within a distributed work environment.

What are some of the unique challenges faced by Remote Computer Forensics Analysts, and how can they be managed?

Remote Computer Forensics Analysts often encounter challenges such as securing remote access to digital evidence, coordinating across time zones, and maintaining chain-of-custody protocols without direct on-site access. To manage these issues, professionals rely on secure communication channels, advanced remote access software, and strict adherence to documentation and evidence management procedures. Building strong relationships with on-site IT staff and law enforcement partners is also key to ensuring smooth investigations. While these challenges require adaptability, they also offer opportunities to develop highly sought-after technical and collaboration skills in a flexible, remote work environment.
More about Remote Computer Forensics Analyst jobs
What are the most commonly searched types of Computer Forensics Analyst jobs in Iowa? The most popular types of Computer Forensics Analyst jobs in Iowa are:
What are popular job titles related to Remote Computer Forensics Analyst jobs in Iowa? For Remote Computer Forensics Analyst jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Remote Computer Forensics Analyst jobs in Iowa look for? The top searched job categories for Remote Computer Forensics Analyst jobs in Iowa are:
What cities in Iowa are hiring for Remote Computer Forensics Analyst jobs? Cities in Iowa with the most Remote Computer Forensics Analyst job openings:
Remote Computer Forensics Analyst jobs near you
Infographic showing various Remote Computer Forensics Analyst job openings in Iowa as of May 2026, with employment types broken down into 1% Internship, 4% As Needed, 72% Full Time, 20% Part Time, and 3% Temporary. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $95,497 per year, or $45.9 per hour.
Remote AI Research Scientist & Quantitative Trainer

Remote AI Research Scientist & Quantitative Trainer

DataAnnotation

Nevada, IA • On-site, Remote

$60/hr

Full-time

Posted 17 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.BenefitsFully 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.ResponsibilitiesEvaluate 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.Qualifications2+ 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).Note: 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.datascienceJ-18808-Ljbffr

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