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Data Collection Jobs in Rochester, NY (NOW HIRING)

Emerge ABA

Board Certified Behavior Analyst

Rochester, NY

$73K - $89.30K/yr

Develop, implement, and monitor individualized behavior intervention plans based on data collection and analysis. * Collect, record, and analyze data to measure treatment effectiveness and make ...

Haley & Aldrich

Staff Wetland Scientist 1

Rochester, NY · On-site

$45.26K - $65.56K/yr

Conduct routine data collection, analysis, and reporting using approved standard procedures appropriate for this discipline. * Ability to assist in the preparation of permitting applications for ...

Fisher Associates

GIS Intern

Rochester, NY · On-site

$23/hr

Use ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise, GPS/mobile collection, and disciplined data standards to turn field and project information into maps, layers, dashboards, and geospatial products ...

superiorplus

HRIS Analyst - Dayforce

Rochester, NY · On-site

$80K - $85K/yr

Additionally, the role involves developing and documenting data collection processes, maintaining HRIS database quality, ensuring compliance with HR policies, and offering technical support to HR ...

Datrose

Clinical Research Nurse

Rochester, NY · On-site

$45/hr

Conducting and supporting participant visits (data and bio-sample collection) Reviewing study procedures to ensure compliance with GCP and general good medical practice Participant recruitment ...

Datrose

Clinical Research Nurse

Rochester, NY · On-site

$45/hr

Conducting and supporting participant visits (data and bio-sample collection) Reviewing study procedures to ensure compliance with GCP and general good medical practice Participant recruitment ...

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Data Collection information

See Rochester, NY salary details

$15

$24

$31

How much do data collection jobs pay per hour?

As of May 29, 2026, the average hourly pay for data collection in Rochester, NY is $24.97, according to ZipRecruiter salary data. Most workers in this role earn between $23.03 and $25.62 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Collection Specialist, and why are they important?

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 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 is the difference between Data Collection vs Data Analyst?

AspectData CollectionData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require certifications in data toolsBachelor's degree in data science, statistics, or related field; certifications like SQL or Python often preferred
Work EnvironmentFieldwork, surveys, online data gathering, or office-based data entryOffice setting, analyzing data sets, creating reports
Employer & Industry UsageResearch firms, marketing agencies, government agenciesTech companies, finance, healthcare, consulting firms
Common Search & Comparison IntentUnderstanding data collection methods and rolesAnalyzing 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.

What are popular job titles related to Data Collection jobs in Rochester, NY? For Data Collection jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Data Collection jobs in Rochester, NY look for? The top searched job categories for Data Collection jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Data Collection jobs? Cities near Rochester, NY with the most Data Collection job openings:
Data Collection jobs near you
Infographic showing various Data Collection job openings in Rochester, NY as of May 2026, with employment types broken down into 3% Internship, 70% Full Time, 21% Part Time, 3% Temporary, and 3% Contract. Highlights an 97% In-person, and 3% Remote job distribution, with an average salary of $51,938 per year, or $25 per hour.

Software Engineer, Data Infrastructure & Acquisition - Rochester, NY, USA

Speechify

Rochester, NY • On-site

$113K - $135.70K/yr

Full-time

Posted 9 days ago

Job description

The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You'll Do
  • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
  • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
  • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
  • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.

An Ideal Candidate Should Have
  • BS/MS/PhD in Computer Science or a related field.
  • 5+ years of industry experience in software development.
  • Proficiency with bash/Python scripting in Linux environments
  • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
  • Experience with web crawlers, large-scale data processing workflows is a plus
  • Ability to handle multiple tasks and adapt to changing priorities.
  • Strong communication skills, both written and verbal.

What we offer
  • A fast-growing environment where you can help shape the company and product.
  • An entrepreneurial-minded team that supports risk, intuition, and hustle.
  • A hands-off management approach so you can focus and do your best work.
  • An opportunity to make a big impact in a transformative industry.
  • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
  • Opportunity to work on a life-changing product that millions of people use.
  • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
  • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience
Think you're a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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