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Data Analyst Ai Jobs in Rochester, NY (NOW HIRING)

Data Engineer II

Rochester, NY · On-site

$113K - $135K/yr

Work you'll do/Responsibilities As part of the Data & Analytics Foundry you will support numerous ... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

Data Engineer

Rochester, NY · On-site +1

$113K - $135K/yr

... AI, and human expertise to help organizations work smarter, support their people, and achieve ... Overview Source, extract, and manipulate large data sets to serve Business Analytics, Machine ...

Data Engineer

Rochester, NY · On-site

$113K - $135K/yr

... AI, and human expertise to help organizations work smarter, support their people, and achieve ... Overview Source, extract, and manipulate large data sets to serve Business Analytics, Machine ...

Assess data from a variety of sources to gain insights into pricing strategies and market trends. * Utilize AI-powered visualization and reporting tools to translate complex analyses into clear ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

In Oracle data and analytics at PwC, you will utilise Oracle's suite of tools and technologies to ... This role offers the chance to shape AI solution architecture while driving innovation and ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Data Solutions Engineer

Rochester, NY · On-site

$113K - $135K/yr

... analytics, machine learning, artificial intelligence, and large-scale data operations. The role ... Collaborate on the integration of AI/ML platforms, ensuring seamless multi-cloud and hybrid cloud ...

Data Solutions Engineer

Rochester, NY · On-site +1

$113K - $135K/yr

... analytics, machine learning, artificial intelligence, and large-scale data operations. The role ... Collaborate on the integration of AI/ML platforms, ensuring seamless multi-cloud and hybrid cloud ...

Showing results 21-40

Data Analyst Ai information

See Rochester, NY salary details

$33.5K

$81.5K

$134.2K

How much do data analyst ai jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data analyst ai in Rochester, NY is $81,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What is a data analyst AI?

A Data Analyst AI is a professional who uses artificial intelligence tools and techniques to analyze and interpret complex data sets. They leverage machine learning algorithms, statistical models, and data visualization tools to uncover trends, patterns, and insights that help organizations make data-driven decisions. In addition to traditional data analysis skills, Data Analyst AI professionals are proficient in programming languages like Python or R and are familiar with AI frameworks. Their work often involves cleaning and preparing data, building predictive models, and communicating findings to stakeholders. This role bridges the gap between data analysis and AI-driven solutions.

How does a data analyst AI typically collaborate with data scientists and engineering teams?

Data Analysts focusing on AI often work closely with data scientists to prepare, clean, and analyze large datasets that feed into machine learning models. They also collaborate with engineering teams to ensure data pipelines are robust and scalable, supporting both ongoing analysis and model deployment. Regular communication and documentation are essential, as insights and findings from the analyst's work often inform model improvements and business decisions. This cross-functional teamwork helps bridge the gap between raw data and actionable AI solutions.

What are the key skills and qualifications needed to thrive as a data analyst AI, and why are they important?

To thrive as a Data Analyst AI, you need strong analytical skills, proficiency in statistics, data visualization, and a solid understanding of machine learning principles, often supported by a degree in a quantitative field. Familiarity with tools such as Python, SQL, R, and AI platforms like TensorFlow or PyTorch, as well as certifications in data analytics or AI, is highly beneficial. Critical thinking, attention to detail, and effective communication help you interpret data insights and present findings to stakeholders. These skills are crucial for extracting meaningful patterns from complex datasets and enabling data-driven decision-making in AI-driven environments.

What is the difference between Data Analyst Ai vs Data Scientist?

AspectData Analyst AiData Scientist
Required CredentialsBachelor's in Data Science, Analytics, or related field; certifications like Microsoft Certified Data AnalystBachelor's or Master's in Data Science, Statistics, or related; advanced certifications often preferred
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development, modeling, and complex data analysis
Employer & Industry UsageCorporate, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonOften compared for entry to mid-level roles in data analysisMore advanced, requiring deeper statistical and machine learning skills

Data Analyst Ai and Data Scientist roles share overlapping skills but differ mainly in complexity and scope. Data Analysts Ai focus on interpreting data and creating reports, while Data Scientists develop models and algorithms for predictive analytics. Understanding these differences helps in career planning and job targeting.

How to become a data analyst AI?

To become a data analyst AI, you should develop skills in programming languages like Python or R, learn data manipulation and analysis techniques, and gain experience with machine learning tools and frameworks. Acquiring relevant certifications and understanding data visualization and database management can also enhance your qualifications.

What are the most commonly searched types of Data Analyst Ai jobs in Rochester, NY?

The most popular types of Data Analyst Ai jobs in Rochester, NY are:

What are popular job titles related to Data Analyst Ai jobs in Rochester, NY?

For Data Analyst Ai jobs in Rochester, NY, the most frequently searched job titles are:

What cities near Rochester, NY are hiring for Data Analyst Ai jobs?

Cities near Rochester, NY with the most Data Analyst Ai job openings:

Infographic showing various Data Analyst Ai job openings in Rochester, NY as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $81,538 per year, or $39.2 per hour.

Project Perseus | Speech & Voice AI Analyst - Czech Speakers

Welocalize

Farmington, NY • On-site

$26 - $28/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

340th of 499 rated business services


Job description

Data Labeling Analyst

Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.

This is a high-impact production role focused on building the datasets that power real-world AI systems. You'll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.

While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.

We're looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.

Project Details
  • Job Title: Data Labeling Analyst
  • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
  • Hours: Full-time, 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
  • Pay Rate: $26 - $28/hour

Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.

What You'll Do

  • Execute high-volume data labeling and annotation tasks across speech and voice datasets
  • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
  • Work with audio and language data, including transcription, categorization, and tagging
  • Maintain strong throughput while meeting quality expectations
  • Escalate unclear or ambiguous cases appropriately
  • Adapt to evolving guidelines and workflows as systems and requirements change
  • Support baseline data production needs for AI training pipelines
  • Contribute to team calibrations and quality alignment sessions

What We're Looking For

  • Native-level fluency in Czech
  • Strong written communication skills and language fundamentals
  • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.
  • Ability to follow detailed instructions and apply guidelines consistently
  • High attention to detail and ability to maintain accuracy in repetitive tasks
  • Comfort working in structured, process-driven environments
  • Ability to manage time effectively and maintain steady output
  • Willingness to ask questions and escalate when needed
  • Basic familiarity with AI, speech technology, or language data is a plus

Benefits

  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave: accrued per applicable state law and company policy
  • Medical, Dental, and Vision Insurance (eligibility applies)
  • Health Savings Account (HSA)
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Additional voluntary benefits (life, accident, critical illness, etc.)

Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location

$26 - $28 an hour Why This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It's a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.


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