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Document Researcher Jobs (NOW HIRING)

Link, LLC

Windows Security Researcher

Annapolis, MD · On-site

Attention to detail is critical, especially when documenting research findings. Additionally, you will often be required to write code in C, Python, and Assembly to showcase control over identified ...

4pconsultinginc

Document Specialist II

Birmingham, AL · On-site

This role provides administrative, research, and documentation support for multiple acquisition projects. The ideal candidate has experience in land records, title research, document management ...

Experis

UX Researcher

Dallas, TX · On-site +1

$60 - $65/hr

Develop and document accurate user cohorts, personas, use cases, and journey maps representative of diverse user types * Translate research findings into clear, evidence-based design principles and ...

Blenderbox

User Researcher [Contract]

Develop research plans, discussion guides, and supporting documentation * Adapt research approaches as project scope, constraints, or timelines evolve Synthesis & Insight Development * Analyze ...

UAB NOVA RENT

RESEARCHER SENIOR

Birmingham, AL · On-site

$60K/yr

This also includes management of institutional regulations, training, and compliance documentation for a small research team, learning from laboratory manager. Depending on the research focus, this ...

IMC

Quantitative Researcher - Data Curation

Chicago, IL · On-site

$250K - $300K/yr

Document research processes, data provenance, and results with high standards of clarity and reproducibility * Collaborate with software engineers and traders to translate research into production ...

UAB

RESEARCHER SENIOR

Tampa, FL

$60K/yr

This also includes management of institutional regulations, training, and compliance documentation for a small research team, learning from laboratory manager. Depending on the research focus, this ...

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Document Researcher information

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$30K

$113.1K

$164.5K

How much do document researcher jobs pay per year?

As of Jun 6, 2026, the average yearly pay for document researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What is the difference between Document Researcher vs Data Analyst?

AspectDocument ResearcherData Analyst
Required CredentialsTypically a degree in library science, research, or related fieldsDegree in statistics, mathematics, or related fields
Work EnvironmentResearch firms, libraries, legal or academic settingsBusiness, finance, healthcare, or tech industries
Employer & Industry UsageUsed for gathering and verifying information from documentsUsed for interpreting data to inform business decisions

The main difference is that Document Researchers focus on locating, verifying, and analyzing documents and information sources, often in research or legal contexts. Data Analysts interpret numerical data to generate insights and support decision-making. While both roles require analytical skills, their focus and tools differ significantly.

What are the key skills and qualifications needed to thrive as a Document Researcher, and why are they important?

To thrive as a Document Researcher, you need strong analytical abilities, attention to detail, and proficiency in information retrieval, typically supported by a degree in library science, history, or a related field. Familiarity with digital databases, archival software, and citation management tools is essential. Excellent organizational skills, critical thinking, and effective written communication help set top Document Researchers apart. These skills ensure accurate, efficient, and reliable research results that support organizational knowledge and decision-making.

What are Document Researchers?

Document Researchers are professionals who specialize in locating, analyzing, and verifying documents and records for a variety of purposes. Their work often supports legal cases, academic research, business transactions, or historical investigations. They are skilled at navigating archives, databases, and online resources to find relevant information, ensuring its authenticity and accuracy. Document Researchers may work for law firms, libraries, government agencies, or as independent consultants.

What are some typical challenges faced by Document Researchers in managing and organizing large volumes of information?

Document Researchers often handle extensive collections of records, which can make organization and retrieval challenging. Ensuring accuracy while cross-referencing multiple sources, maintaining version control, and adhering to strict confidentiality protocols are common hurdles. To overcome these, researchers usually rely on specialized document management systems and collaborate closely with archivists, librarians, or legal teams. Adapting to evolving digital tools and maintaining thorough attention to detail are key to success in this role.
More about Document Researcher jobs
What job categories do people searching Document Researcher jobs look for? The top searched job categories for Document Researcher jobs are:
Document Researcher jobs near you
Infographic showing various Document Researcher job openings in the United States as of May 2026, with employment types broken down into 6% Full Time, 82% Part Time, 6% Temporary, and 6% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.
Team Leader - Document Research

Team Leader - Document Research

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description

Team Leader - Document Research
Location
New York
Business Area
Data
Ref #
10051510
Description & Requirements
  1. Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients.

Our Team:
The Data Artificial Intelligence group is focused on bringing a comprehensive strategic vision to incorporating AI within the department. We see our responsibilities as driving both the prioritization and implementation of AI methods within the Data Department, as well as standardizing and promoting Data as a partner in the development of AI-enhanced products throughout the firm through domain expertise.
What's the Role?
As a Team Leader of the Document Research team, you will be pivotal in the development of our evaluation and annotation programmes for our AI applications & experiences within the document research space. The responsibilities will include representing Data in the development of these AI products, alongside CTO, Engineering and Product, contributing domain expertise in the generation of evaluation and annotation programs. Your work will touch a multitude of domains across different groups and inform a variety of expert research systems powered by generative AI.
The ideal candidate is a technically grounded, systems-oriented leader who understands how annotated data shapes AI model behavior and evaluation outcomes. You are comfortable operating at scale while exercising deep technical judgment, enforcing standards, interpreting ambiguity, and using metrics to detect drift, diagnose failure modes, and continuously improve data quality.
We'll Trust You To:
  • Establish and maintain close partnerships with Engineering, CTO and Product counterparts and contribute to the priorities and implementation roadmaps for client facing AI applications & experiences
  • Recruit, mentor and develop a team of data management professionals who are experts in evaluation frameworks, annotations management, and project management while promoting a culture of cross team collaboration
  • Balance operational stability and adoption of new technologies during implementation, while challenging partners' past assumptions
  • Identify and implement improvements to schemas, workflows, and operational processes.
  • Participate and contribute to technical discussions and provide insights on design, code reviews, and other relevant areas as required by the team
  • Collaborate with strategic partners on large-scale programs (technical and operational) with enterprise-wide influence through effective data governance, cross-team organization, and stakeholder engagement

You'll Need to Have:
  • Bachelor's or Master's degree
  • 3+ years of experience leading operational or program-focused teams
  • Demonstrated technical judgment in designing or operating annotation systems that support machine learning training, evaluation, or model assessment
  • Good understanding of annotation systems and quality methodologies, including calibration, agreement modeling, and drift detection
  • Demonstrable experience running large-scale annotation or data operations with vendor and SME workforces
  • Ability to enforce centrally defined standards while maintaining consistency at scale
  • Excellent multi-functional leadership skills and comfort operating in ambiguity-rich environments
  • Strong program leadership capability, with a focus on measurable outcomes and continuous improvement

We'd Love to See:
  • Exposure to the Bloomberg Terminal and/or Enterprise Data products
  • Up-to-date knowledge of financial markets, and how Bloomberg products deliver value to our users
  • Experience with the Data tech stack and HiTL platform (e.g. Gigwork, Autolab, BBDS, etc.)
  • Project Management Professional (PMP) or other relevant certifications are desirable

Does this sound like you? Apply if you think you're a match!
Salary Range = 135,000 - 230,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.
Bloomberg logo

About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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