ZipRecruiter

Log In

1

Senior Data Annotation Analyst Jobs in Arizona (NOW HIRING)

Infinite Tek Inc.

EDW Data Analyst- Banking

Tempe, AZ · On-site

Min 10-12+ years of total experience as senior Data Analyst, financial services and banking experience is preferred Experience with data modelling, data analysis, data visualization, API's and real ...

First Citizens Bank

Senior Data Architect

Phoenix, AZ · On-site

$66.75 - $89.25/hr

Overview The Senior Data Architect is a senior technical leader within Enterprise Data & Analytics (ED&A) responsible for defining, designing, and implementing enterprise-scale data architectures ...

Adecco

Senior Data Engineer

Mesa, AZ · On-site

$105K - $142K/yr

Senior Data Engineer - Healthcare Data & Business Intelligence Position: Senior Data Engineer ... Design and implement analytical data models and data structures used by BI analysts for reporting ...

Stantec

Senior Data Architect

Tucson, AZ · On-site

$62.50 - $83.75/hr

Senior Data Architect We are seeking a Senior Data Architect to join a project team that will be ... Experience: 10+ years of experience in data architecture, data analysis, or related IT roles, with ...

Contexture

Senior Data Governance Analyst

Phoenix, AZ · Remote

$6.9K - $8.0K/mo

The Senior Data Governance Analyst has the responsibility for performing activities within the organization Data Governance program to ensure quality, integrity, and usability of our data. Activities ...

Contexture

Senior Data Governance Analyst

Phoenix, AZ · On-site

$6.9K - $8.0K/mo

The Senior Data Governance Analyst has the responsibility for performing activities within the organization Data Governance program to ensure quality, integrity, and usability of our data. Activities ...

HCVT

Senior Data & Analytics Specialist

Phoenix, AZ · On-site

As the Senior Data & Analytics Specialist, you will be responsible for, but not limited to, the following: * Enterprise Data Platform & Engineering: Design, develop, and maintain the firm ...

HCVT

Senior Data & Analytics Specialist

Phoenix, AZ · Hybrid

As the Senior Data & Analytics Specialist, you will be responsible for, but not limited to, the following: * Enterprise Data Platform & Engineering: Design, develop, and maintain the firm ...

previous page

Showing results 41-60

All JobsData Annotation Analyst JobsSenior Data Annotation Analyst JobsSenior Data Annotation Analyst Jobs in Arizona

Senior Data Annotation Analyst information

What is a senior data annotation analyst?

Senior Data Annotation Analysts are experienced professionals who oversee the process of labeling and tagging data, such as text, images, or audio, to train machine learning models. They are responsible for ensuring high-quality annotations, developing guidelines, and often mentoring junior annotators. Their work is crucial for the success of AI and machine learning projects, as accurate data annotation directly impacts model performance. Senior analysts also collaborate with data scientists and engineers to refine annotation processes and improve data quality.

What are the key skills and qualifications needed to thrive as a senior data annotation analyst?

To thrive as a Senior Data Annotation Analyst, you need expertise in data labeling, analytical thinking, and a strong understanding of machine learning concepts, often supported by a relevant degree or significant experience in data operations. Familiarity with annotation platforms (like Labelbox or Supervisely), data management tools, and quality assurance processes is typically required. Attention to detail, problem-solving, and the ability to communicate feedback effectively are crucial soft skills for this role. These competencies ensure high-quality data sets that drive accurate machine learning models and improve project outcomes.

How does a senior data annotation analyst typically collaborate with machine learning engineers and data scientists?

As a Senior Data Annotation Analyst, you will often work closely with machine learning engineers and data scientists to ensure that labeled data meets project requirements and quality standards. You may participate in meetings to discuss annotation guidelines, clarify ambiguous cases, and provide feedback on data challenges that arise. Your expertise in annotation tools and processes helps streamline workflows and ensures that the annotated datasets are reliable, which is critical for model training and evaluation. Collaboration is key, and you'll be expected to communicate effectively across teams to address issues and continuously improve the data pipeline.

What is the difference between Senior Data Annotation Analyst vs Data Annotation Specialist?

AspectSenior Data Annotation AnalystData Annotation Specialist
CredentialsBachelor's degree in related field, experience in data annotationHigh school diploma or equivalent, entry-level experience
Work EnvironmentCollaborative teams, project management, quality assuranceIndividual tasks, data labeling, basic quality checks
Industry UsageTech, AI, machine learning companiesAI startups, data labeling firms, research projects

The Senior Data Annotation Analyst typically has more experience, handles complex annotation projects, and oversees quality control, whereas the Data Annotation Specialist focuses on basic labeling tasks. Both roles are essential in AI data preparation, but the senior analyst often leads projects and ensures standards are met.

Does data annotation actually pay well?

Data annotation analysts typically earn hourly wages that are close to minimum wage or slightly above, with pay varying based on experience, location, and the complexity of tasks. While some roles offer higher pay for specialized skills or certifications, overall compensation is generally modest compared to other tech roles.

Is data annotation still hiring?

Data annotation roles, including senior positions, are actively hiring as companies expand their AI and machine learning projects. These jobs often require attention to detail and familiarity with annotation tools, and they are available in both remote and on-site formats. Demand remains steady due to ongoing growth in AI data needs.

What does a senior data annotation analyst do?

A senior data annotation analyst is responsible for reviewing, labeling, and validating data to ensure accuracy for machine learning models. They often use annotation tools and may oversee junior team members, ensuring data quality and consistency in projects involving image, text, or video data.

What are the most commonly searched types of Data Annotation Analyst jobs in Arizona?

The most popular types of Data Annotation Analyst jobs in Arizona are:

What cities in Arizona are hiring for Senior Data Annotation Analyst jobs?

Cities in Arizona with the most Senior Data Annotation Analyst job openings:

Senior Data Annotation Analyst jobs near you
Infographic showing various Senior Data Annotation Analyst job openings in Arizona as of July 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

Senior Data Migration Validation Analyst

Phoenix, AZ • On-site

vTech Solution
IT Services • 51 - 200 employees
Learn more about vTech Solutionexternal

$85K - $107K/yr

Contractor

Posted 22 days ago

Job description

Job Title: Senior Data Migration Validation Analyst
Type: Contract – 6 Months (Probability of Extension)
Location: Phoenix, AZ (Hybrid)
Interview : In Person interview

Job Summary:

We are seeking a Senior Data Migration Validation Analyst to oversee the end-to-end data reconciliation and quality assurance for a complex migration pipeline moving data from a legacy Mainframe system, through a SQL staging database, and into Salesforce CRM. The ideal candidate will bridge the gap between legacy data structures and modern cloud architecture, ensuring 100% data integrity, zero record loss, and perfect relational mapping.

Key Responsibilities:

  • End-to-End Reconciliation: Validate data at every hop of the migration pipeline (Mainframe to SQL, and SQL to Salesforce), ensuring record counts, hash totals, and financial/statistical summaries match across all environments.
  • Schema & Mapping Verification: Review Source-to-Target Mapping (STTM) documents and write complex SQL scripts to verify that data transformation logic, data types, and truncation rules are accurately implemented.
  • Salesforce Target Validation: Use SOQL, Data Loader, and Workbench to verify that relational integrity (parent-child relationships), External IDs, and object schemas are perfectly intact post-load.
  • Defect Triage: Identify, document, and track data anomalies (e.g., character encoding issues, orphaned records, null constraint violations) and collaborate with Informatica ETL and Salesforce developers to remediate them.

Required Technical Skills:

  • SQL Mastery: Advanced querying skills (complex joins, CTEs, window functions, and data profiling scripts).
  • Salesforce Core: Strong understanding of Salesforce data architecture, standard/custom objects, SOQL, and data loading mechanisms.
  • Legacy Data Literacy: Familiarity with parsing fixed-width flat files, or validating EBCDIC-to-ASCII conversions.
  • Scripting/Automation: Experience using Python (Pandas) or advanced Excel/Power Query to perform automated, row-by-row cross-system file comparisons.
  • AI Exp: would be a plus

Required Qualifications:

  • Bachelor’s degree in computer science, Information Systems, Business Administration, or related field.
  • Minimum of 5 years of experience with SQL Server, Salesforce Service Cloud and data conversion testing / validation.

Preferred Skills:

  • AI experience
  • Legacy Data
  • Scripting/Automation

vTech Solution Inc. is a Managed IT Services firm headquartered in Washington, DC. They specialize in a range of services including cloud computing, managed network security, and cybersecurity. Their primary focus is on providing human-centered IT solutions for government and business sectors, including federal, state, local, and education (SLED) groups, as well as commercial organizations.

vTech Solution offers services such as:

  • Managed Security Services: Implementing zero-trust security frameworks to prevent cyber threats in real-time.
  • Multi-cloud Management Services: Helping businesses digitally transform with smart cloud technologies.
  • Infrastructure Managed Services: Creating resilient and secure infrastructure management.
  • Professional Services: Providing expertise for mission-critical programs.
  • Productivity and Communications: Ensuring secure and confident business connectivity from anywhere
vTech Solution logo

About vTech Solution

Sourced by ZipRecruiter

vTech is a Managed IT Services firm based out of Washington DC with a primary focus on Cloud Computing and Managed Network Security.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Washington, DC, US

Year founded

2006

Social media

FacebookTwitter

View All vTech Solution Jobs