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Data Annotation Tech Remote Jobs in Buffalo, NY (NOW HIRING)

micro1 AI

M&A Attorney - AI Trainer - Remote

Buffalo, NY · Remote

$90 - $130/hr

... the tech field. In this role, you will review, assess, and contribute to contract redlining ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

160 Driving Academy

Admissions Advisor

Buffalo, NY · Remote

$18 - $24.25/hr

Maintain accurate and complete data in Salesforce. * Key Performance Indicators (KPIs) Activity ... Ensure classroom laptops, technology, and remote-learning systems are functioning properly before ...

Deloitte

Epic Denials Management Operator

Williamsville, NY · Remote

$16.50 - $22/hr

This is a primarily remote role supporting enterprise Epic support, with minimal travel and ... technology & data platforms. Our delivery models are tailored to meet each client's unique ...

OrganOx

Clinical Project Associate

Buffalo, NY · Remote

OrganOx is a commercial stage organ technology company dedicated to developing technologies to ... This is a remote position in the United States. Major Responsibilities Under direction from the ...

Acara Solutions

Technical Support Analyst II

Buffalo, NY · On-site +1

$65K - $75K/yr

Monitor backup procedures and processes - conduct data restores when required * Support multiple ... Some travel to remote offices or external customer sites as needed * Provide detailed and ...

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Data Annotation Tech Remote information

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$11

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$33

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

As of Aug 8, 2026, the average hourly pay for data annotation tech remote in Buffalo, NY is $22.13, according to ZipRecruiter salary data. Most workers in this role earn between $16.30 and $26.30 per hour, depending on experience, location, and employer.

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.

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 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.

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. 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 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 popular job titles related to Data Annotation Tech Remote jobs in Buffalo, NY? For Data Annotation Tech Remote jobs in Buffalo, NY, the most frequently searched job titles are:
What job categories do people searching Data Annotation Tech Remote jobs in Buffalo, NY look for? The top searched job categories for Data Annotation Tech Remote jobs in Buffalo, NY are:
What cities near Buffalo, NY are hiring for Data Annotation Tech Remote jobs? Cities near Buffalo, NY with the most Data Annotation Tech Remote job openings:
Data Annotation Tech Remote jobs near you
Infographic showing various Data Annotation Tech Remote job openings in Buffalo, NY as of August 2026, with employment types broken down into 74% Full Time, 13% Part Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $46,023 per year, or $22.1 per hour.

M&A Attorney - AI Trainer - Remote

micro1 AI

Buffalo, NY • Remote

$90 - $130/hr

Part-time

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

Job description

Role Title: M&A Attorney


Role Type: Contractor


Location: Remote


We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI. This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work, especially those who have deep experience with drafting, reviewing, negotiating, and redlining within the tech field.


In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment.


Key Responsibilities:

  1. Perform simulated contract negotiations and redlining exercises.
  2. Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision.
  3. Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.
  4. Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.


Required Skills and Qualifications:

  1. J.D. from an ABA-accredited law school.
  2. Active bar admission in at least one U.S. jurisdiction.
  3. Minimum of 2 years in the M&A department of a corporate law firm.
  4. Familiarity with standard M&A agreements, including APAs and SPAs.
  5. Exceptional written and verbal communication skills with meticulous attention to detail.
  6. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  7. Demonstrated commitment to innovation at the intersection of law and technology.
  8. Experience working with cross-disciplinary teams in fast-paced environments.


Preferred Qualifications:

  1. Prior exposure to AI, legal tech, or training initiatives.
  2. Experience working with private equity firms.


Why Join:

  1. This is an opportunity to work at the intersection of law and technology.
  2. You will help define how AI is developed for a new generation of legal practitioners.
  3. You will apply your experience in a high-impact research environment.


Apply