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Data Annotation Tech Remote Jobs in East Hartford, CT

... technology solutions. Position Summary: Healthcare runs on data that nobody has fully figured out ... This position is fully remote, while occasional travel may be required. Primary Responsibilities:

Data & AI Delivery Lead

Hartford, CT · On-site +1

$156K - $234K/yr

As a Data & AI Delivery lead you will lead end‑to‑end delivery for high‑impact technology ... Hybrid / Or Remote This role can have a Hybrid or Remote work schedule. Candidates who live near ...

Data & AI Delivery Lead

Hartford, CT · On-site +1

$156K - $234K/yr

As a Data & AI Delivery lead you will lead endtoend delivery for highimpact technology initiatives ... Hybrid / Or Remote This role can have a Hybrid or Remote work schedule. Candidates who live near ...

Remote (opportunity to work from our SF office) The Role We are looking for a high-potential ... This person will initially focus on data-licensing agreements, inbound technology transactions ...

Technology Transactions Counsel

Waterbury, CT · On-site +1

$350K - $410K/hr

Remote (opportunity to work from our SF office) The Role We are looking for a high-potential ... This person will initially focus on data-licensing agreements, inbound technology transactions ...

Technology Transactions Counsel

Hartford, CT · On-site +1

$350K - $410K/hr

Remote (opportunity to work from our SF office) The Role We are looking for a high-potential ... This person will initially focus on data-licensing agreements, inbound technology transactions ...

This internship is primarily a remote opportunity. However, if you are located near one of our ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.

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Data Annotation Tech Remote information

See East Hartford, CT salary details

$12

$22

$34

How much do data annotation tech remote jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for data annotation tech remote in East Hartford, CT is $22.49, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $26.73 per hour, depending on experience, location, and employer.

What is a data annotation tech remote?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

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

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.

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

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

How much do remote data annotation tech jobs pay?

Remote data annotation technician jobs typically pay between $12 and $20 per hour, depending on experience, skill level, and the complexity of the annotation tasks. Some positions may offer additional benefits or flexible schedules, and pay rates can vary based on the employer and geographic location of the company or project. Entry-level roles often start at the lower end of the pay scale, while experienced annotators or those with specialized skills may earn higher wages.

What cities near East Hartford, CT are hiring for Data Annotation Tech Remote jobs?

Cities near East Hartford, CT with the most Data Annotation Tech Remote job openings:

Infographic showing various Data Annotation Tech Remote job openings in East Hartford, CT as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $46,777 per year, or $22.5 per hour.

Manager, Data Architect (Remote)

Raytheon Technologies

Farmington, CT • On-site, Remote

$67.50 - $87/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


RTX rating

8.2

Company rating: 8.2 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

38th of 72 rated aerospace companies


Job description

Date Posted:
2026-08-20
Country:
United States of America
Location:
US-CT-FARMINGTON-0004 ~ 4 Farm Springs Rd ~ 4 FARM SPRINGS
Position Role Type:
Remote
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
Security Clearance Type:
None/Not Required
Security Clearance Status:
Not Required
At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Join us and help shape the future of aerospace and defense.
RTX is seeking a skilled and experienced Manager, Workforce Intelligence (Data Architect) to join our team.
What You Will Do:
  • Design and maintain scalable HR data architecture in Snowflake, including databases, schemas, data models and semantic views.
  • Build and optimize ETL/ELT pipelines using Matillion and Snowflake to support reporting, analytics and operational needs.
  • Define and enforce data governance, data quality, consistency, lineage, naming standards and compliance with regulatory requirements for HR data.
  • Develop and maintain data controls to ensure the integrity and reliability of data across systems and workflows.
  • Implement and manage security policies for user views and semantic layers, including role-based access and data protection.
  • Manage SQL Server environments used for metadata management, including performance tuning and reliability.
  • Establish DevOps practices (version control, deployment automation, environment promotion) for schemas, pipelines and data models.
  • Partner with Product and Delivery, BU Consultants and BI development teams to translate requirements into scalable, governed data solutions.
  • Provide consultation and guidance on data architecture, integration and analytics capabilities.
  • Create and maintain comprehensive documentation for data architecture designs, processes, governance policies, and integrations.
  • Support AI-ready and agentic use cases by organizing trusted semantics, metadata and reusable data products.

Qualifications You Must Have:
  • Typically requires: A University Degree or equivalent experience and minimum 8 years prior relevant experience, or an Advanced Degree in a related field and minimum 5 years experience
  • 7+ years of experience in data architecture or data engineering.
  • Strong hands-on experience with Snowflake (design, modeling, performance) and cloud data services.
  • Experience building API Integration, ETL/ELT pipelines.
  • Strong SQL Server skills (design, indexing, performance tuning).
  • Proven experience with data governance, metadata management and data security.
  • Experience with version control (e.g., Git) and automated deployment for data assets.
  • Strong communication and stakeholder collaboration skills.

Qualifications We Prefer
  • Excellent communication and coordination skills to work effectively with technical and non-technical stakeholders.
  • Certification in Snowflake or relevant cloud data services.
  • Scripting skills (e.g., Python, Shell) for automation.
  • Familiarity with API integrations and microservices architecture.
  • Knowledge of cloud platforms (Preferably Azure).
  • Experience with HR systems such as Workday

Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as:
Remote: Employees who are working in Remote roles will work primarily offsite (from home). If you live within a reasonable commute of an RTX site with other colleagues you interact with, your manager will discuss whether there is a degree of onsite presence associated with this role.
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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About RTX

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing, it services, aerospace product and parts manufacturing and engineering professional services

Company size

10,000+ Employees

Headquarters location

Waltham, MA, US

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