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Remote Job Science Manager Jobs (NOW HIRING)

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Remote Job Science Manager information

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$9

$26

$54

How much do remote job science manager jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for remote job science manager in the United States is $26.35, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $32.69 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Job Science Manager, you need a strong background in data science or a related field, advanced analytical skills, and experience managing scientific projects and teams, often supported by a relevant degree (e.g., in statistics, computer science, or a STEM discipline). Familiarity with data analysis tools (such as Python, R, or SQL), project management platforms, and remote collaboration systems is typically required. Outstanding communication, leadership, and organizational skills set top performers apart, enabling effective virtual team management and stakeholder engagement. These competencies are crucial for driving scientific innovation, ensuring project success, and maintaining productivity in a remote work environment.

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

AspectRemote Job Science ManagerRemote Data Analyst
Required CredentialsAdvanced degrees in data science, statistics, or related fields; leadership experienceBachelor's or master's in data analysis, statistics, or related fields
Work EnvironmentLeads data science teams, manages projects, collaborates with cross-functional teamsAnalyzes data, creates reports, supports decision-making
Employer & Industry UsageTech companies, healthcare, finance, industries with data-driven decision processesBusiness, marketing, finance, and tech sectors
Search & Comparison IntentOften compared for leadership roles in data teamsCompared for technical data analysis roles

The Remote Job Science Manager typically oversees data science teams, requiring leadership skills and advanced degrees, while the Remote Data Analyst focuses on analyzing data and generating reports. Both roles are common in data-driven industries, but the manager role emphasizes team management and strategic planning.

What is a Remote Job Science Manager?

A Remote Job Science Manager is a professional who oversees scientific research or projects while working remotely, often managing a team of scientists, researchers, or analysts. Their responsibilities typically include coordinating scientific activities, setting project goals, managing budgets, ensuring timely completion of tasks, and facilitating communication among team members in a virtual environment. This role requires strong leadership, technical expertise in a scientific field, and proficiency with digital collaboration tools. Remote Science Managers play a key role in enabling research and innovation without the constraints of a traditional office setting.

How does a Remote Job Science Manager effectively lead and support a distributed research team?

As a Remote Job Science Manager, you'll leverage digital collaboration tools to coordinate research projects, set clear goals, and maintain open communication across different time zones. Regular virtual meetings, transparent progress tracking, and fostering a supportive team culture are essential for team cohesion and productivity. It's also important to adapt management strategies to accommodate flexible schedules and ensure all team members feel included and engaged. Success in this role relies on proactive leadership and the ability to facilitate seamless collaboration despite physical distance.
Infographic showing various Remote Job Science Manager job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 57% Full Time, 38% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $54,806 per year, or $26.3 per hour.
Data Science Manager - AI Trainer

Data Science Manager - AI Trainer

DataAnnotation

Brooklyn, NY โ€ข On-site, Remote

$40/hr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


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 โ€” 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, starting at $40+ USD per 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 handsโ€on experience in a quantitative role or research environment โ€” 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, timeโ€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. #datascience #J-18808-Ljbffr