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Data Annotation Manager Jobs in Connecticut (NOW HIRING)

Actalent

Engineering Technician

East Hartford, CT

$30 - $41/hr

The position involves a blend of technical work, project management, and engineering ... Proficiency in Excel for data entry * Excellent written and oral communication skills * 1+ year ...

Actalent

Engineering Technician

East Hartford, CT · On-site

$30 - $41/hr

The position involves a blend of technical work, project management, and engineering ... Proficiency in Excel for data entry * Excellent written and oral communication skills * 1+ year ...

All JobsData Annotation JobsData Annotation Manager JobsData Annotation Manager Jobs in Connecticut

Data Annotation Manager information

See Connecticut salary details

$29.5K

$92.4K

$163.6K

How much do data annotation manager jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data annotation manager in Connecticut is $92,412.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $119,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by data annotation managers, and how can they be addressed?

Data Annotation Managers often encounter challenges such as maintaining high annotation quality across large and diverse datasets, managing a distributed team of annotators, and meeting tight project deadlines. To address these, it's important to implement robust quality assurance processes, provide ongoing training for annotators, and establish clear communication channels. Leveraging annotation tools with built-in validation features can also help ensure consistency and accuracy. Building a positive and collaborative team environment further contributes to better outcomes and workflow efficiency.

What does a data annotation manager do?

A Data Annotation Manager oversees the process of labeling and categorizing data used to train machine learning models. They manage teams of annotators, ensure data quality, develop annotation guidelines, and coordinate with data scientists to meet project requirements. Their role is critical in maintaining high standards of accuracy and efficiency, as well as ensuring that datasets are properly prepared for AI and machine learning applications.

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

To thrive as a Data Annotation Manager, you need expertise in data labeling processes, quality control, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Proficiency with annotation tools such as Labelbox, Supervisely, or CVAT, as well as experience with project management systems, is commonly required. Exceptional leadership, attention to detail, and strong communication skills help manage teams and ensure high annotation accuracy. These skills are critical for delivering reliable labeled datasets, which are essential for building effective AI and machine learning models.

What is the difference between Data Annotation Manager vs Data Labeling Specialist?

AspectData Annotation ManagerData Labeling Specialist
CredentialsBachelor's degree in related field, experience in data managementHigh school diploma or equivalent, training in labeling tools
Work EnvironmentTeam management, project oversight, collaboration with data scientistsHands-on labeling work, using annotation tools, focused on data tagging
Industry UsageUsed in AI/ML projects for overseeing annotation teamsPerforms the actual data labeling tasks in machine learning workflows

The Data Annotation Manager oversees the entire annotation process, managing teams and ensuring quality, while the Data Labeling Specialist focuses on executing labeling tasks. Both roles are essential in AI/ML data preparation but differ in responsibilities and scope.

What are the most commonly searched types of Data Annotation jobs in Connecticut? The most popular types of Data Annotation jobs in Connecticut are:
What are popular job titles related to Data Annotation Manager jobs in Connecticut? For Data Annotation Manager jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Data Annotation Manager jobs in Connecticut look for? The top searched job categories for Data Annotation Manager jobs in Connecticut are:
Data Annotation Manager jobs near you
Infographic showing various Data Annotation Manager job openings in Connecticut as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $92,412 per year, or $44.4 per hour.

Research Assistant 2 or 3 (Technician)

University of Connecticut

Storrs, CT • On-site

Full-time

Re-posted 24 days ago

University Of Connecticut rating

9.3

Company rating: 9.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

10th of 615 rated colleges and universities

Job description

Research Assistant 2 or 3 (Technician)
Search #: 499571
Work type: Full-time
Location: UConn Storrs
Categories: Research
JOB SUMMARY
The R. O'Neill lab and the J. Wegrzyn lab, both in the Institute for Systems Genomics at the University of Connecticut, Storrs, are looking for two Research Assistants to join our teams of scientists, at either the Research Assistant 2 or 3 level. The labs specialize in broad genomic applications, with a focus on data generation for assessing genome integrity and performing genome assembly, annotation and comparative genomics. Our goal is to sequence endangered species across a broad range of taxonomic groups, including mammals (eutherian, prototherian, and metatherian), birds, reptiles, amphibians, fish and plants, providing telomere-to-telomere genomes for comparative analyses.
The primary role of the positions will focus on both short- and long-read data generation across multiple sequencing platforms (ONT, PacBio, Illumina) and broad sequencing applications (whole genome shotgun, targeted sequencing, Omni-C/Hi-C, CUT&RUN, and new protocols developed in our research programs. Extensive knowledge and practical experience in high molecular weight DNA extractions and ultra-long ONT sequencing is preferred.
DUTIES AND RESPONSIBILITIES
  • Isolate nucleic acids from a variety of sample types, including tissues, blood, and cell cultures
  • Perform next generation sequencing applications
  • QC and library preparation
  • Run standard and UL Oxford Nanopore Technologies flow cells
  • Manage sequencing data in a HPC environment
  • Assess sequence quality metrics
  • Support training new students
  • Oversee sample processing and data production
  • Assist in general laboratory management
  • Independently perform and modify established methods
  • Maintain positive working relationships with other staff, faculty and students
  • Demonstrate and practice lab safety precautions
  • Attend annual safety courses required by UConn and other agencies
  • Maintain accurate records for protocols, samples, and data reporting
  • Follow manufacturer's guidelines regarding the handling and maintenance of all lab equipment
  • Maintain working knowledge of equipment operation manuals and procedure manuals
  • Facilitate the documentation of and reporting to collaborators regarding research efforts; facilitate progress reports, manuscript submissions and grants preparation

MINIMUM QUALIFICATIONS
  1. RA 2 only: Bachelor's degree in molecular biology or a related area of study and two to three years of relevant post-degree experience; OR Master's degree in molecular biology or a related area of study and up to one year of relevant post-degree experience.
  2. RA 3 only: Bachelor's degree in molecular biology or a related area of study and four to five years of relevant post-degree experience; OR Master's degree in molecular biology or a related area of study and two to four years of relevant post-degree experience.
  3. Both levels: Experience analyzing, interpreting, and troubleshooting experiments independently and with colleagues.
  4. Both levels: Demonstrated experience communicating in a professional environment in written and oral format.
  5. Both levels: Experience with NGS library preparation and/or sequencing.
  6. Both levels: Experience with other NGS and library preparation methods.
  7. Both levels: Demonstrated experience with the practices and principles of NGS.
  8. Both levels: Demonstrated organizational skills, including accuracy and attention to detail while performing a high volume of work.
  9. Both levels: Demonstrated laboratory and instrumentation skills.

PREFERRED QUALIFICATIONS
  1. Both levels: Experience in a multi-disciplinary research environment.
  2. Both levels: Experience with bioinformatic analytical tools and genome assembly.
  3. Both levels: Experience with nuclei preparation from frozen cells/tissue.
  4. Both levels: Experience with genomics data analysis/computational pipelines/bioinformatics.

APPOINTMENT TERMS
These are full-time, 12-month, end-dated positions, subject to renewal based on funding and performance. Salary will be commensurate with experience. The University offers a competitive salary, and outstanding benefits, including employee and dependent tuition waivers at UConn, and a highly desirable work environment. For additional information regarding benefits visit: https://hr.uconn.edu/health-benefits/.
Other rights, terms, and conditions of employment are contained in the collective bargaining agreement between the University of Connecticut and the American Association of University Professors UConn Chapter (AAUP).
TERMS AND CONDITIONS OF EMPLOYMENT
Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check.
TO APPLY
Please apply online at https://hr.uconn.edu/jobs, Faculty and Staff Positions, Search #499571 and submit the following application materials: resume, cover letter, and contact information for three (3) professional references.
The review of applications is anticipated to begin in June 26, and the position will be posted until filled.
All employees are subject to adherence to the State Code of Ethics which may be found at http://www.ct.gov/ethics/site/default.asp.
All members of the University of Connecticut are expected to exhibit appreciation of, and contribute to, an inclusive, respectful, and diverse environment for the University community.
The University of Connecticut aspires to create a community built on collaboration and belonging and has actively sought to create an inclusive culture within the workforce. The success of the University is dependent on the willingness of our diverse employee and student populations to share their rich perspectives and backgrounds in a respectful manner. This makes it essential for each member of our community to feel secure and welcomed and to thoroughly understand and believe that their ideas are respected by all. We strongly respect each individual employee's unique experiences and perspectives and encourage all members of the community to do the same. All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
The University of Connecticut is an AA/EEO Employer.
Advertised: Jun 29 2026 Eastern Daylight Time
Applications close:
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