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Remote Data Entry Researcher Jobs in Spring Valley, NY

Research new techniques and frameworks for NLP tasks * Design new experiments for data abstraction and categorization of sentences/paragraphs * Work with our lawyers to review initial results and ...

This role is responsible for accurate, timely data entry and reconciliation across brokerage ... Perform track-and-trace research as needed. * Duty Accruals / Payments Support * Record entry ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Perform independent research and fact-checking to validate technical information. * Annotate data ...

Perform quick but thorough data analysis in order to create actionable findings. Deliver high ... Hands-on experience with the following methods: lab-based user testing, remote testing, field ...

Perform data entry, document preparation, and general administrative tasks. * Organize digital ... Conduct online research and compile information when required. * Prepare reports, presentations ...

New

Collaborate with Product Managers, Product designers, Data Scientists, and Engineers to scope, plan ... Experience with remote and in-person user research methodologies * Comfortable incorporating AI ...

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Remote Data Entry Researcher information

See Spring Valley, NY salary details

$30.4K

$114.6K

$166.7K

How much do remote data entry researcher jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote data entry researcher in Spring Valley, NY is $114,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,900.00 and $156,100.00 per year, depending on experience, location, and employer.

What is a remote data entry researcher?

A Remote Data Entry Researcher is a professional who collects, verifies, and organizes data from various sources and enters it into databases or spreadsheets, all while working from a remote location. This role often requires strong attention to detail, research skills, and proficiency with data entry software. Tasks can include searching for information online, validating data accuracy, and preparing reports. Remote Data Entry Researchers are essential for organizations that need accurate and up-to-date data but prefer to outsource or decentralize the data entry process.

What are some common challenges faced by remote data entry researchers and how can they be addressed?

Remote Data Entry Researchers often encounter challenges such as maintaining consistent accuracy, managing distractions while working from home, and ensuring secure handling of sensitive data. To address these issues, it's important to establish a dedicated workspace, follow thorough data verification procedures, and utilize secure software approved by your employer. Regular communication with team members via online platforms can also help maintain accountability and clarify any ambiguities in assignments.

What are the key skills and qualifications needed to thrive as a remote data entry researcher, and why are they important?

To thrive as a Remote Data Entry Researcher, you need strong attention to detail, fast and accurate typing skills, and a high school diploma or equivalent. Familiarity with spreadsheet software (such as Microsoft Excel or Google Sheets), online research tools, and data management systems is typically required. Exceptional time management, self-motivation, and clear written communication are important soft skills for success in a remote environment. These skills and qualities ensure data integrity, efficient workflow, and reliable collaboration with distributed teams.

What is the difference between Remote Data Entry Researcher vs Remote Data Entry Specialist?

AspectRemote Data Entry ResearcherRemote Data Entry Specialist
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentHome-based, independentHome-based, independent
Industry UsageResearch firms, data collection projectsBusinesses, administrative tasks
Job FocusResearch and data collectionData input and management

Remote Data Entry Researchers focus on gathering and researching data, often involving online research tasks. Remote Data Entry Specialists primarily input and manage data into systems. Both roles require similar skills and work environments but differ in their core responsibilities and industry applications.

What job categories do people searching Remote Data Entry Researcher jobs in Spring Valley, NY look for?

The top searched job categories for Remote Data Entry Researcher jobs in Spring Valley, NY are:

What cities near Spring Valley, NY are hiring for Remote Data Entry Researcher jobs?

Cities near Spring Valley, NY with the most Remote Data Entry Researcher job openings:

Sr. Data Researcher || 100% REMOTE

GD Resources LLC

Manhattan, NY • On-site, Remote

$140K - $160K/yr

Full-time

Posted 8 days ago


Job description

Job Title - Sr. Data Researcher
Location - 100% REMOTE
Base Salary - $140,000 - $160,000
JOB #. 83483208
Industry: Education / Training / Libraries
Job Category: Information Technology - Business Intelligence
*** Client Screening Questions ***
1- Do you have Ph. D?
2- Do you have background in relational databases, big data systems, and data analytic systems?
3- Are you familiar with git and project management tools, such as JIRA ?
Ideal Candidate
PhD in Computer Science, or similar fields
Background in relational databases, big data systems, and data analytic systems
Expertise in data management, data cleaning, distributed systems, database storage engines, query processing and query optimization, and applied data science
Job Details:
We are interested in a variety of topics including big data management, self-service data cleaning and transformation at scale, data quality, search and discovery of structured data, information extraction, time-series and heterogenous data analytics, metadata management, applied AI, machine learning and data mining, data visualization, natural language processing and big data systems including systems' concerns such as: resource management, storage, caching, query processing, query optimization, security, and privacy.
Key Responsibilities:
Investigate heterogenous data management techniques and polystore systems, including the application of AI & machine learning techniques to foundational data management problems including data quality, data profiling, data integration and schema matching.
Develop tools and frameworks to enable scalable development of machine learning models and data science algorithms across data domains, including tabular, time series, text, audio and video.
Create distributed data processing architectures that leverage "compute at the edge" to enable novel use cases and applications such as predictive routing, data-driven experiences, and adaptive environments.
Work with GEIS researchers to understand data-related opportunities in peer researchers' domains such as applied AI and machine learning in Audio / Video domains.