ZipRecruiter

Log In

2

Hourly Remote Data Annotation Jobs in Buffalo, NY

micro1 AI

Transactional Lawyer

Buffalo, NY · Remote

$90 - $130/hr

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Business Law Attorney

Buffalo, NY · Remote

$90 - $130/hr

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Legal Counsel - AI Trainer

Buffalo, NY · Remote

$90 - $130/hr

Remote Job Summary: We are seeking seasoned General Counsels for a part-time role at the forefront ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Transaction Attorney

Buffalo, NY · Remote

$90 - $130/hr

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Transactional Counsel

Buffalo, NY · Remote

$90 - $130/hr

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

In-house Counsel

Buffalo, NY · Remote

$90 - $130/hr

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

previous page

Showing results 21-38

All JobsHourly Data Annotation JobsHourly Remote Data Annotation JobsHourly Remote Data Annotation Jobs in Buffalo, NY

Hourly Remote Data Annotation information

What is hourly remote data annotation?

Hourly remote data annotation involves labeling or categorizing data, such as images, text, or audio, for use in machine learning and artificial intelligence projects. Annotators work from home and are usually paid by the hour to review and tag data according to specific guidelines provided by the employer. This work is essential for training algorithms to recognize patterns or interpret information accurately. Data annotation tasks vary and can include image classification, text categorization, or identifying objects within media. It’s a popular entry-level remote job that requires attention to detail and the ability to follow instructions closely.

What are the key skills and qualifications needed to thrive as an hourly remote data annotation specialist?

To excel as an Hourly Remote Data Annotation Specialist, you need strong attention to detail, accuracy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency with annotation platforms, labeling tools (like Labelbox or Supervisely), and sometimes basic knowledge of spreadsheets or image/video editing software is typically required. Reliability, time management, and clear communication are vital soft skills for succeeding in a remote, deadline-driven environment. These abilities ensure high-quality, consistent annotations that are critical for training AI models and meeting project requirements.

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

Hourly remote data annotation workers often encounter challenges such as repetitive tasks, maintaining high accuracy, and managing time effectively without direct supervision. To address these, it's important to establish a structured daily routine, take regular breaks to prevent fatigue, and utilize any quality control guidelines provided by the employer. Staying in regular communication with team leads or project managers can also help clarify any ambiguities and ensure consistent work quality.

What is the difference between Hourly Remote Data Annotation vs Hourly Remote Data Labeling?

AspectHourly Remote Data AnnotationHourly Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML projects for training dataCommon in AI/ML projects for training data
Job FocusAdding annotations to data (e.g., bounding boxes, tags)Assigning labels to datasets for model training

Both roles involve working remotely to prepare data for machine learning models. Data annotation typically involves marking specific features within data, while data labeling involves categorizing data into predefined classes. The skills and work environment are similar, making them closely related but distinct tasks within AI data preparation.

What are the most commonly searched types of Remote Data Annotation jobs in Buffalo, NY?

The most popular types of Remote Data Annotation jobs in Buffalo, NY are:

What are popular job titles related to Hourly Remote Data Annotation jobs in Buffalo, NY?

For Hourly Remote Data Annotation jobs in Buffalo, NY, the most frequently searched job titles are:

What job categories do people searching Hourly Remote Data Annotation jobs in Buffalo, NY look for?

The top searched job categories for Hourly Remote Data Annotation jobs in Buffalo, NY are:

What cities near Buffalo, NY are hiring for Hourly Remote Data Annotation jobs?

Cities near Buffalo, NY with the most Hourly Remote Data Annotation job openings:

Hourly Remote Data Annotation jobs near you

Enterprise Business Architect

Imagine Staffing Technology

Buffalo, NY • Remote

$95/hr

Full-time

Re-posted 21 days ago

Job description

Job Title: Enterprise Business Architect
Location: Remote
Hire Type: Contingent 
Target Hourly Rate: $95.00/hour
Work Model: Remote (with travel to Buffalo, NY every 4-6 weeks)
Contact Email: bfesmire@imaginestaffing.net
 
No C2C, C2H, 1099 or Visa Sponsorship/Transfer available
 
Nature & Scope:
Positional Overview
We are seeking a visionary Business Architect to serve as the bridge between business strategy and enterprise execution, shaping target-state models, informing investment decisions, and ensuring initiatives deliver measurable business value.  
 
This role establishes clarity on:
  • What the business is trying to achieve (strategy and outcomes)
  • How value is delivered (value streams)
  • What the business must be able to do (capabilities)
 
This role is ideal for a strategic thinker with strong business/technology translation expertise, excellent communication skills, and a passion for driving innovation in the financial sector.
 
Role & Responsibility:
Tasks That Will Lead To Your Success
 
  • Strategy Alignment - Translate business strategy into capability, value stream, and initiative roadmaps. Ensure initiatives align to strategic objectives and target outcome
  • Business Architecture Modeling - Develop and maintain business capability maps, value streams, and operating models. Define current-state and target-state business architectures [linkedin.com]
  • Transformation & Investment Guidance - Identify capability gaps and prioritize investments based on business value.  Support portfolio planning and initiative prioritization
  • Enterprise Analysis & Design - Assess business processes, structures, and systems for alignment and efficiency.  Define business-driven requirements for transformation efforts 
  • Stakeholder Engagement - Partner with executives, product teams, EA, and delivery teams.  Facilitate alignment across business and technology stakeholders
  • Governance & Standards - Establish and enforce business architecture standards and frameworks.  Ensure traceability from strategy through execution
  • Cross-Architecture Alignment - Collaborate with Enterprise, Solution, and Data Architects to align designs.  Ensuring business intent is reflected in solution and technology decisions.
 
 
Skills that will Lead To Your Success
  •  Strategic thinking and business model design
  • Capability modeling and value stream mapping
  • Systems thinking and enterprise analysis
  • Stakeholder facilitation and executive communication
  • Problem-solving and structured decision-making
  • Financial and investment analysis (business case, prioritization)
  • Influence without authority across complex organizations
  • Visualization and modeling (e.g., capability maps, operating models)
  • Business Architecture Guild / BIZBOK concepts and practices
  • Capabilities, value streams, organization, information mapping
  • Enterprise architecture frameworks (e.g., TOGAF, FEAPO-aligned definitions) 
  • Operating model design and business transformation methods
  • Financial services industry structure, regulations, and risk considerations
  • Portfolio management and investment prioritization
  • SDLC and technology delivery lifecycle alignment
  • Data, process, and organizational design principles