You will enable reliable data collection, annotation, training, and evaluation processes by developing systems that improve data quality, operational visibility, and workflow efficiency. Through ...
You will enable reliable data collection, annotation, training, and evaluation processes by developing systems that improve data quality, operational visibility, and workflow efficiency. Through ...
Maintains active communication with programs as necessary to facilitate data collection. * Administers assessments or observations in designated classrooms, as trained. * Monitors participation ...
Maintains active communication with programs as necessary to facilitate data collection. * Administers assessments or observations in designated classrooms, as trained. * Monitors participation ...
Company description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make ...
Quick apply
Company description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make ...
Data Collector
New Brunswick, NJ · On-site
$38/hr
Maintains active communication with programs as necessary to facilitate data collection. * Administers assessments or observations in designated classrooms, as trained. * Monitors participation ...
Data Collector
New Brunswick, NJ · On-site
$38/hr
Maintains active communication with programs as necessary to facilitate data collection. * Administers assessments or observations in designated classrooms, as trained. * Monitors participation ...
Company description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make ...
Company description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make ...
Company description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make ...
Quick apply
Company description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make ...
Company description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make ...
Company description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make ...
Director, Clinical Data Management
Warren, NJ · On-site
$201 - $253/hr
Lead interactions with outside vendors (e.g., clinical laboratories) on collection, transmittal, and transfer of study specific data. * Develop and update SOP's and other documents associated with ...
Director, Clinical Data Management
Warren, NJ · On-site
$201 - $253/hr
Lead interactions with outside vendors (e.g., clinical laboratories) on collection, transmittal, and transfer of study specific data. * Develop and update SOP's and other documents associated with ...
Lead interactions with outside vendors (e.g., clinical laboratories) on collection, transmittal, and transfer of study specific data. * Develop and update SOP's and other documents associated with ...
Lead interactions with outside vendors (e.g., clinical laboratories) on collection, transmittal, and transfer of study specific data. * Develop and update SOP's and other documents associated with ...
Lead interactions with outside vendors (e.g., clinical laboratories) on collection, transmittal, and transfer of study specific data. * Develop and update SOP's and other documents associated with ...
Lead interactions with outside vendors (e.g., clinical laboratories) on collection, transmittal, and transfer of study specific data. * Develop and update SOP's and other documents associated with ...
Sr. Data Engineer (Blockchain) - Remote
Jersey City, NJ · On-site +1
$125K - $150K/yr
Advanced skills with python (or similar language) for data collection, analysis, and communication including familiarity with pandas package, object-oriented programming, and built-in functions.
Sr. Data Engineer (Blockchain) - Remote
Jersey City, NJ · On-site +1
$125K - $150K/yr
Advanced skills with python (or similar language) for data collection, analysis, and communication including familiarity with pandas package, object-oriented programming, and built-in functions.
Key Responsibilities Data Collection & Validation * Collect and consolidate import and export transaction data from internal systems, suppliers, freight providers, and customs documentation. * Review ...
Key Responsibilities Data Collection & Validation * Collect and consolidate import and export transaction data from internal systems, suppliers, freight providers, and customs documentation. * Review ...
Operational Execution of the Program Strategy: • Lead, establish and maintain a data strategy for the design, collection, processing, transformation, reporting and submission of clinical data • ...
Operational Execution of the Program Strategy: • Lead, establish and maintain a data strategy for the design, collection, processing, transformation, reporting and submission of clinical data • ...
Key Responsibilities Data Collection & Validation * Collect and consolidate import and export transaction data from internal systems, suppliers, freight providers, and customs documentation. * Review ...
New
Key Responsibilities Data Collection & Validation * Collect and consolidate import and export transaction data from internal systems, suppliers, freight providers, and customs documentation. * Review ...
New
Data Manager
Whippany, NJ · On-site +1
$80K - $125K/yr
Data Collection : Ensuring that program data is captured accurately and completely using ConnectiveRx's systems, whether from patients/caregivers, providers, or supporting staff. * Program Data ...
Data Manager
Whippany, NJ · On-site +1
$80K - $125K/yr
Data Collection : Ensuring that program data is captured accurately and completely using ConnectiveRx's systems, whether from patients/caregivers, providers, or supporting staff. * Program Data ...
Data Collection : Ensuring that program data is captured accurately and completely using ConnectiveRx's systems, whether from patients/caregivers, providers, or supporting staff. * Program Data ...
Data Collection : Ensuring that program data is captured accurately and completely using ConnectiveRx's systems, whether from patients/caregivers, providers, or supporting staff. * Program Data ...
Data Manager
Whippany, NJ · On-site +1
Data Collection : Ensuring that program data is captured accurately and completely using ConnectiveRx's systems, whether from patients/caregivers, providers, or supporting staff. * Program Data ...
Data Manager
Whippany, NJ · On-site +1
Data Collection : Ensuring that program data is captured accurately and completely using ConnectiveRx's systems, whether from patients/caregivers, providers, or supporting staff. * Program Data ...
ETL Data Analyst
Whitehouse Station, NJ · On-site
Define new data collection and analysis processes. * Experience in data models and reporting packages. * Ability to analyze large datasets. * Ability to write comprehensive reports. * Technical ...
ETL Data Analyst
Whitehouse Station, NJ · On-site
Define new data collection and analysis processes. * Experience in data models and reporting packages. * Ability to analyze large datasets. * Ability to write comprehensive reports. * Technical ...
Lead interactions with outside vendors (e.g., clinical laboratories) on collection, transmittal, and transfer of study specific data. * Develop and update SOP's and other documents associated with ...
Lead interactions with outside vendors (e.g., clinical laboratories) on collection, transmittal, and transfer of study specific data. * Develop and update SOP's and other documents associated with ...
Lead interactions with outside vendors (e.g., clinical laboratories) on collection, transmittal, and transfer of study specific data. * Develop and update SOP's and other documents associated with ...
Lead interactions with outside vendors (e.g., clinical laboratories) on collection, transmittal, and transfer of study specific data. * Develop and update SOP's and other documents associated with ...
Data Collection information
See New Jersey salary details
$16.35 - $17.79
3% of jobs
$17.79 - $19.24
2% of jobs
$19.24 - $20.68
3% of jobs
$20.68 - $22.12
4% of jobs
$22.12 - $23.56
11% of jobs
$23.77 is the 25th percentile. Wages below this are outliers.
$23.56 - $25
13% of jobs
The median wage is $25.78 / hr.
$25 - $26.45
26% of jobs
$27.18 is the 75th percentile. Wages above this are outliers.
$26.45 - $27.89
25% of jobs
$27.89 - $29.33
7% of jobs
$29.33 - $30.77
3% of jobs
$30.77 - $32.21
2% of jobs
$16
$25
$32
How much do data collection jobs pay per hour?
As of Aug 22, 2026, the average hourly pay for data collection in New Jersey is $25.69, according to ZipRecruiter salary data. Most workers in this role earn between $23.65 and $26.35 per hour, depending on experience, location, and employer.
What is data collection?
Data collection is the process of gathering and measuring information on targeted variables in a systematic way to answer research questions, test hypotheses, or evaluate outcomes. It is a critical first step in research, analytics, and decision-making, ensuring that the data collected is accurate, reliable, and relevant. Data collection can be done through various methods, including surveys, interviews, observations, or digital tools, depending on the objectives and resources available. Proper data collection enables organizations and researchers to make informed decisions based on evidence and trends.
What are the key skills and qualifications needed to thrive as a data collection specialist?
To thrive as a Data Collection Specialist, you need strong analytical abilities, attention to detail, and a background in statistics or data management, often supported by a relevant degree or coursework. Familiarity with data collection tools like survey platforms, Excel, and database management systems, as well as knowledge of data privacy regulations, is essential. Strong organizational skills, clear communication, and adaptability help ensure accuracy and efficiency in gathering and recording data. These skills are crucial for collecting reliable data that supports informed decision-making and organizational objectives.
What are some common challenges faced by professionals in data collection roles, and how can they be overcome?
Data collection professionals often encounter challenges such as ensuring data accuracy, managing large volumes of data, and maintaining data privacy. Inaccurate or incomplete data can compromise analysis, so attention to detail and robust validation processes are essential. Additionally, collaborating closely with other team members, such as analysts and IT staff, helps streamline workflows and troubleshoot issues quickly. Staying updated on best practices and using reliable tools can further improve efficiency and data quality.
What is the difference between Data Collection vs Data Analyst?
| Aspect | Data Collection | Data Analyst |
|---|---|---|
| Required Credentials | High school diploma or equivalent; some roles may require certifications in data tools | Bachelor's degree in data science, statistics, or related field; certifications like SQL or Python often preferred |
| Work Environment | Fieldwork, surveys, online data gathering, or office-based data entry | Office setting, analyzing data sets, creating reports |
| Employer & Industry Usage | Research firms, marketing agencies, government agencies | Tech companies, finance, healthcare, consulting firms |
| Common Search & Comparison Intent | Understanding data collection methods and roles | Analyzing data to derive insights and support decision-making |
Data Collection involves gathering raw data through various methods, while Data Analysts interpret and analyze that data to generate insights. Both roles are essential in data-driven industries but focus on different stages of the data process.
How much money do data collectors make?
Data collectors typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the data collection tasks. Some positions may offer additional incentives or bonuses for meeting targets or working in specialized environments.
Is data collection a good job?
Data collection jobs involve gathering information for research, marketing, or analysis purposes and often require attention to detail and basic technical skills. These roles can be part-time or full-time, with varying pay and job stability depending on the industry and employer. They are generally suitable for individuals interested in data, research, and working in flexible or remote environments.
What are the most commonly searched types of Data Collection jobs in New Jersey?
The most popular types of Data Collection jobs in New Jersey are:
What are popular job titles related to Data Collection jobs in New Jersey?
For Data Collection jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Data Collection jobs in New Jersey look for?
The top searched job categories for Data Collection jobs in New Jersey are:
What cities in New Jersey are hiring for Data Collection jobs?
Cities in New Jersey with the most Data Collection job openings:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 8 days ago
Bloomberg rating
9.4
Based on 11 frontline employees who took The Breakroom Quiz
12th of 246 rated software companies
Job description
Senior Data Management Professional - Data Engineering (Data AI)
Location
Princeton
Business Area
Data
Ref #
10052626
Description & Requirements
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 workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.
Our Team:
Data AI contributes to the building of Bloomberg's AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. We provide evaluation and annotation frameworks connecting natural language processing and human judgment in order to elevate the quality, intelligence, and usability of the data that drives our products.
By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. Our internal processes to take advantage of new AI technologies and strengthen Data's role in providing robust domain expertise and influential data artifacts to Bloomberg's products. As a result our clients will continue to have high quality data and access to new types of datasets.
The Role:
As a Data Engineer within Data AI, you will build and evolve the infrastructure, data pipelines, and operational tooling that power scalable AI and data workflows. You will enable reliable data collection, annotation, training, and evaluation processes by developing systems that improve data quality, operational visibility, and workflow efficiency. Through automation, observability, and platform engineering, you will help create the foundations that allow teams to deliver data and AI products with confidence and at scale.
We'll trust you to:
You'll need to have:
We'd love to see:
If this sounds like you:
Apply! If you think we're a good match. We'll get in touch to let you know the next steps!
Salary Range = 110,000 - 190,000 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.
Location
Princeton
Business Area
Data
Ref #
10052626
Description & Requirements
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 workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.
Our Team:
Data AI contributes to the building of Bloomberg's AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. We provide evaluation and annotation frameworks connecting natural language processing and human judgment in order to elevate the quality, intelligence, and usability of the data that drives our products.
By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. Our internal processes to take advantage of new AI technologies and strengthen Data's role in providing robust domain expertise and influential data artifacts to Bloomberg's products. As a result our clients will continue to have high quality data and access to new types of datasets.
The Role:
As a Data Engineer within Data AI, you will build and evolve the infrastructure, data pipelines, and operational tooling that power scalable AI and data workflows. You will enable reliable data collection, annotation, training, and evaluation processes by developing systems that improve data quality, operational visibility, and workflow efficiency. Through automation, observability, and platform engineering, you will help create the foundations that allow teams to deliver data and AI products with confidence and at scale.
We'll trust you to:
- Design, build, and maintain scalable data pipelines that support data collection, annotation, training, evaluation, analytics, and reporting workflows.
- Develop and operate systems for dataset management, storage, versioning, and lifecycle governance to ensure reliable and reproducible AI workflows.
- Implement monitoring, observability, and alerting capabilities that provide visibility into data quality, system health, and operational performance.
- Build dashboards, tooling, and self-service capabilities that improve transparency, efficiency, and decision-making across data operations.
- Partner with Product, Engineering, and Data teams to evolve the infrastructure and platforms supporting AI-enabled products and workflows.
- Identify bottlenecks and opportunities for automation, delivering scalable solutions that improve reliability, consistency, and operational efficiency.
You'll need to have:
- Bachelor's degree in Finance, Business, Economics, Accounting, STEM or degree-equivalent qualifications
- 3+ years in data engineering (Python, SQL)
- Experience building ETL/data pipelines at scale and creating data collection frameworks for structured and unstructured data
- Experience with data modeling and developing proactive data quality strategies that ensure data is fit for purpose
- Experience working with ML/AI datasets or experimentation workflows.
- Excellent problem-solving and analytical thinking skills with strong attention to detail.
- Proven track record of stakeholder relationship management, communication, and cross-team collaboration.
We'd love to see:
- Keen interest in and familiarity with generative AI frameworks and the requirements of Agentic AI.
- Experience in semantic structures or large scale data modeling
- Experience using data visualization tools such as Tableau, QlikSense, or PowerBI
- Experience developing or managing annotation programs and training/evaluation datasets for ML or NLP models.
- Deep domain expertise in financial markets/news and understanding of our customers' needs.
If this sounds like you:
Apply! If you think we're a good match. We'll get in touch to let you know the next steps!
Salary Range = 110,000 - 190,000 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.
What Bloomberg employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
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