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Hourly Ai Data Annotation Jobs in Springfield, MA

Kforce Inc.

Construction Accountant

Hartford, CT · On-site

$64K - $84K/yr

... data and journal entries for tax compliance Assist with supporting documentation for the CPA firm ... Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a ...

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All JobsHourly Ai Data Annotation JobsHourly Ai Data Annotation Jobs in Springfield, MA

Hourly Ai Data Annotation information

What is an hourly AI data annotation?

An Hourly AI Data Annotation job involves labeling, tagging, or categorizing data—such as images, text, or audio—to help train machine learning models. Annotators follow specific guidelines to ensure that the data is accurately labeled so that AI systems can learn to recognize patterns and make decisions. These jobs are typically paid by the hour and may require attention to detail, consistency, and sometimes familiarity with specialized annotation tools. This work is essential for improving the accuracy and usefulness of artificial intelligence applications.

What are the key skills and qualifications needed to thrive as an hourly AI data annotator?

To thrive as an AI Data Annotator, you need strong attention to detail, accuracy, and a basic understanding of data labeling concepts, typically supported by a high school diploma or equivalent. Familiarity with annotation tools such as Labelbox or Supervisely, and basic computer proficiency, are often required. Critical thinking, consistency, and effective communication are valuable soft skills in this role. These skills ensure high-quality, reliable data that directly improves the performance of AI and machine learning models.

What are some common challenges faced by hourly AI data annotators, and how can they be managed?

Hourly AI data annotators often encounter challenges such as repetitive tasks, maintaining high accuracy under time constraints, and adapting to evolving project guidelines. To manage these, it's important to take regular breaks to avoid fatigue, stay up to date with training materials, and communicate proactively with team leads if instructions are unclear. Many teams use collaborative tools and regular feedback sessions to support annotators and ensure consistent quality, making teamwork and attention to detail vital for success in this role.

What is the difference between Hourly Ai Data Annotation vs Data Labeler?

AspectHourly Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or in-office, flexible hoursRemote or in-office, flexible hours
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job FocusAnnotating data for AI training, often with specific instructionsLabeling data to help AI models learn, often similar tasks

Hourly Ai Data Annotation and Data Labeler roles are similar, focusing on preparing data for AI systems. The main difference lies in terminology; 'Hourly Ai Data Annotation' emphasizes the paid hourly aspect and the specific task of annotating data for AI training, while 'Data Labeler' is a broader term used interchangeably in the industry. Both roles require similar skills and are used in the same industry sectors.

What job categories do people searching Hourly Ai Data Annotation jobs in Springfield, MA look for?

The top searched job categories for Hourly Ai Data Annotation jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Hourly Ai Data Annotation jobs?

Cities near Springfield, MA with the most Hourly Ai Data Annotation job openings:

Hourly Ai Data Annotation jobs near you
Infographic showing various Hourly Ai Data Annotation job openings in Springfield, MA as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 67% In-person, and 33% Remote job distribution.

Chief Technology Officer

Baystate Health

Springfield, MA • On-site

Full-time

Re-posted 14 days ago

Baystate Health rating

6.3

Company rating: 6.3 out of 10

Based on 142 frontline employees who took The Breakroom Quiz

669th of 888 rated healthcare providers

Job description

Baystate Health is seeking a visionary and collaborative Chief Technology Officer (CTO) to lead the strategic direction, development, and execution of enterprise technology across a complex, multi-site healthcare system.

This is a high-impact leadership opportunity for a forward-thinking executive who can balance innovation with operational excellence in a mission-driven healthcare environment.

RESPONSIBILITIES: Reporting to the SVP & Chief Information & Digital Officer (CIDO), the Chief Technology Officer is a key member of the senior digital leadership team and will play a pivotal role in advancing digital transformation. This leader will ensure that all technology platforms-including clinical systems, infrastructure, cybersecurity, and digital innovation-are aligned to improve patient outcomes, operational efficiency, and financial performance.

Key Responsibilities-

Strategic Technology Leadership

  • Define and execute the enterprise technology vision aligned with organizational and digital strategy
  • Partner with executive leadership (CIDO, CMIO, CNO, CFO, and others) to drive system-wide digital transformation
  • Advise senior leadership and the Board on emerging technologies, risks, and opportunities

Infrastructure & Platform Excellence

  • Oversee IT infrastructure, cloud strategy, network architecture, and system reliability
  • Ensure high availability and performance of enterprise systems, including the Oracle Health EHR
  • Build scalable, resilient, and cost-effective technology environments

Cybersecurity & Risk Management

  • Lead enterprise cybersecurity strategy, including risk management and incident response
  • Ensure compliance with healthcare regulations (HIPAA, HITECH, CMS)
  • Implement strong data governance, privacy, and security frameworks

Data, Analytics & AI Enablement

  • Oversee enterprise data architecture, interoperability, and analytics capabilities
  • Enable real-time data access to support clinical and operational decision-making
  • Partner with data and AI leadership to advance innovation and AI-enabled capabilities

Operational & Financial Leadership

  • Establish departmental vision, goals, standards, and performance metrics
  • Lead budgeting, capital planning, and cost optimization strategies
  • Ensure ROI on major technology investments and initiatives

Vendor & Stakeholder Management

  • Manage strategic vendor partnerships, contracts, and performance
  • Lead vendor risk management and issue resolution
  • Build consensus across stakeholders through transparent and effective communication

Team Leadership & Culture

  • Build, mentor, and lead a high-performing, service-oriented technology organization
  • Foster a culture of collaboration, innovation, and continuous improvement
  • Support professional growth and development across the IT team

SCHEDULE:

  • Full-time

LOCATION:

  • 1 Monarch Place

  • Springfield, MA

QUALIFICATIONS:

  • Bachelor's degree required (Master's degree preferred)
  • Minimum of 15+ years of progressive IT experience
  • 10+ years in IT or business leadership roles
  • 5-7+ years in senior leadership within a large, complex healthcare organization or vendor environment

Education:

Bachelors Degree (Required)

Certifications:

Compensation

Note: The compensation range(s) in the table below represent the base salaries for all positions at a given grade across the health system. Typically, a new hire can expect a starting salary somewhere in the lower part of the range. Actual salaries may vary by position and will be determined based on the candidate's relevant experience. No employee will be paid below the minimum of the range. Pay ranges are listed as hourly for non-exempt employees and based on assumed full time commitment for exempt employees.

Minimum - Maximum

$291,600.00 - $357,600.00

Equal Employment Opportunity Employer

Baystate Health is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, national origin, ancestry, age, genetic information, disability, or protected veteran status.

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