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Hourly Ai Data Annotation Jobs in Springfield, MA

... Prior AI annotation/data labeling experience - Familiarity with tax software (TurboTax, Drake, ProSeries) - Experience writing tax guidelines or training materials If you know anyone who may be ...

Principal Data Engineer

Hartford, CT · On-site +1

$144K - $288K/yr

Generative AI, AutoML, or Virtual AI Databases; Provide guidance on Large Language Model (LLM ... This pay range represents the base hourly rate or base annual full-time salary for all positions in ...

Principal Data Engineer

Hartford, CT · On-site +1

$144K - $288K/yr

Generative AI, AutoML, or Virtual AI Databases; • Provide guidance on Large Language Model (LLM ... This pay range represents the base hourly rate or base annual full-time salary for all positions in ...

... data analysis and visualization. Your work directly contributes to refining intelligent systems ... Projects are paid hourly starting at $50-100+/hr, with bonus rates available on some projects ...

... data analysis and visualization. Your work directly contributes to refining intelligent systems ... Projects are paid hourly starting at $50-100+/hr, with bonus rates available on some projects ...

... data analysis and visualization. Your work directly contributes to refining intelligent systems ... Projects are paid hourly starting at $50-$60 USD per hour, with bonus rates available on some ...

... data analysis and visualization. Your work directly contributes to refining intelligent systems ... Projects are paid hourly starting at $50-$60 USD per hour, with bonus rates available on some ...

... data analysis and visualization. Your work directly contributes to refining intelligent systems ... Projects are paid hourly starting at $50-$60 USD per hour, with bonus rates available on some ...

... data analysis and visualization. Your work directly contributes to refining intelligent systems ... Projects are paid hourly starting at $50-$60 USD per hour, with bonus rates available on some ...

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Hourly Ai Data Annotation information

How much is $70,000 a year hourly?

For an Hourly AI Data Annotation role, earning $70,000 annually typically translates to about $33.65 per hour based on a standard 40-hour workweek and 52 weeks per year. This calculation does not account for taxes, benefits, or overtime, which can affect the actual hourly rate. The exact hourly wage may vary depending on the company's pay structure and work schedule.

What is an Hourly AI Data Annotation job?

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 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.

Is 2026 going to be hot?

As an Hourly AI Data Annotation worker, weather conditions like temperature are unrelated to the job. Weather forecasts for 2026 are not available, but climate trends suggest that some regions may experience warmer temperatures due to climate change. The job typically involves working indoors with data labeling tools and does not depend on weather conditions.

What does hourly mean?

In an hourly AI data annotation job, hourly refers to the pay rate calculated based on the number of hours worked. Workers are typically paid a set amount for each hour they spend annotating data, and the total earnings depend on the total hours completed, often tracked with time management tools or software.

What are the key skills and qualifications needed to thrive as an AI Data Annotator, and why are they important?

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 is 20 an hour hourly?

For an Hourly AI Data Annotation role, earning $20 an hour means you are paid $20 for each hour of work completed. This rate is common for entry-level or part-time data annotation tasks, which often require attention to detail and familiarity with annotation tools. The total earnings depend on the number of hours worked per week or month.

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:
Infographic showing various Hourly Ai Data Annotation job openings in Springfield, MA as of June 2026, with employment types broken down into 4% As Needed, 44% Full Time, 40% Part Time, 8% Contract, and 4% Nights. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
Remote Investment Analyst - AI Trainer ($50-$60 per hour)

Remote Investment Analyst - AI Trainer ($50-$60 per hour)

Data Annotation

Northampton, MA • Remote

$50 - $60/hr

Full-time, Part-time, Contractor

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity.


We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making.


We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might:

  • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets
  • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work
  • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t.
  • Share clear, structured feedback to help make each new version of the AI smarter and more reliable.


To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning.


Benefits:

  • This is a full-time or part-time REMOTE position
  • You’ll be able to choose which projects you want to work on
  • You can work on your own schedule
  • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work


Responsibilities:

  • Give AI chatbots diverse and complex problems and evaluate their outputs
  • Evaluate the quality produced by AI models for correctness and performance


Qualifications:

  • Fluency in English (native or bilingual level)
  • Detail-oriented
  • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management
  • A current, in progress, or completed Masters and/or PhD is is preferred but not required


Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.