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Overnight Ai Data Rater Jobs in Georgia (NOW HIRING)

If you are tech-savvy, deeply passionate about Data-driven solutions, AI/ML tools and platforms as ... Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ...

Senior Data Engineer

Atlanta, GA ยท On-site

$101K - $138K/yr

Partner with teams leveraging machine learning and AI technologies to support data consumption and ... and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will ...

Senior AI Engineer (Remote)

Atlanta, GA ยท On-site +1

$99K - $136K/yr

Operating at the intersection of Data Science, Machine Learning Engineering, and Software ... Typically requires overnight travel 5% to 20% of the time. Physical Requirements: * Most of the ...

Senior Commissioning Engineer

Alpharetta, GA ยท On-site

$102K - $140K/yr

ON.energy is building the backbone of energy and AI infrastructure powering grid-safe data centers ... GSA Rate Per diem eligibility while traveling to project sites For All Roles * Professional ...

This leader sits at the intersection of AI product strategy, data-driven evaluation, and production ... Help Agent resolution rate and quality scores (completeness, correctness, relevance) improve ...

Online Senior Data Engineer

Atlanta, GA ยท On-site

$108K - $130K/yr

Online Data Engineer teams at The Home Depot translate business requirements and build the ... Typically requires overnight travel 5% to 20% of the time. Physical Requirements: * Most of the ...

Showing results 41-60

Overnight Ai Data Rater information

What is an Overnight AI Data Rater?

Overnight AI Data Raters are individuals who work outside of regular business hours to evaluate and label data used to train artificial intelligence systems. Their main responsibilities include reviewing text, images, audio, or video content and providing accurate assessments or categorizations according to specific guidelines. This work is crucial in ensuring AI models can learn from high-quality and unbiased data. Typically, these roles are remote and may require attention to detail, consistency, and adherence to data privacy standards.

What are the key skills and qualifications needed to thrive as an Overnight AI Data Rater?

To thrive as an Overnight AI Data Rater, you need strong analytical skills, attention to detail, and proficiency in following complex guidelines, usually supported by at least a high school diploma or equivalent. Familiarity with data labeling tools, web browsers, and sometimes proprietary platforms is important, as well as the ability to quickly adapt to evolving AI systems. Excellent time management, self-motivation, and clear written communication help individuals excel in this often-remote, independent role. These skills ensure accurate data evaluation, which is crucial for improving AI systems and maintaining quality standards during off-peak hours.

What are some common challenges faced by Overnight AI Data Raters, and how can they be managed?

Overnight AI Data Raters often encounter challenges such as maintaining focus during late-night shifts and accurately evaluating large volumes of data within tight deadlines. Managing these challenges involves establishing a consistent sleep schedule, taking regular breaks to avoid fatigue, and using productivity tools to track progress. Collaborating with team members via chat platforms can also help resolve uncertainties in data interpretation, ensuring high-quality work even during less supervised hours.

What is the difference between Overnight Ai Data Rater vs Data Annotator?

AspectOvernight Ai Data RaterData Annotator
CredentialsBasic computer skills, sometimes high school diplomaBasic computer skills, sometimes high school diploma
Work EnvironmentRemote, flexible hours, often overnight shiftsRemote or on-site, flexible or regular hours
Industry UsageAI training data, machine learning modelsData labeling, training datasets for AI
Job FocusReviewing and rating data for AI modelsLabeling and annotating data for AI training

Both Overnight Ai Data Raters and Data Annotators work in AI data preparation, often remotely, with similar entry-level requirements. The key difference is that Overnight Ai Data Raters primarily review and rate data, often during overnight shifts, while Data Annotators focus on labeling and annotating data to create training datasets. Understanding these distinctions helps job seekers find roles aligned with their skills and preferred work hours.

What are the most commonly searched types of Ai Data Rater jobs in Georgia?

The most popular types of Ai Data Rater jobs in Georgia are:

What cities in Georgia are hiring for Overnight Ai Data Rater jobs?

Cities in Georgia with the most Overnight Ai Data Rater job openings:

Infographic showing various Overnight Ai Data Rater job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Senior Director, Data & AI GTM Lead - Southeast

Jobtailor

Atlanta, GA โ€ข On-site

$250 - $420/hr

Other

Posted 5 days ago


Job description


  • Drive $5M+ in annual sales with accountability for pipeline from identification through closure

  • Lead complex pursuits with deal sizes ranging from $500K to $5M+

  • Partner with client executives and account teams to identify and develop opportunities

  • Track, forecast, and report on sales metrics and conversion rates

  • Translate practice vision into executable market strategies and compelling value propositions

  • Serve as Solution Lead on strategic pursuits, architecting innovative approaches that win

  • Develop sales playbooks, pitch materials, and reusable IP that differentiate offerings

  • Build strategic partnerships with technology vendors including Snowflake, Databricks, AWS, Microsoft, OpenAI, and Anthropic

  • Lead RFPs, workshops, and proof-of-concept initiatives

  • Represent the practice through speaking engagements, conferences, and industry events

  • Cultivate relationships with client CXOs, particularly Chief Data Officers and CTOs

  • Lead client-facing events, workshops, and executive briefings

  • Build the practice's brand through strategic marketing and content development

  • Build and mentor a go-to-market team

  • Partner with delivery leaders to align sales with delivery

  • Foster a culture of excellence, accountability, and continuous improvement

  • Maintain client-facing credibility through selective delivery engagement (20-40% billable)

  • Serve in advisory or solution architecture roles on strategic accounts


Requirements

  • 10+ years in consulting, with at least 5 years in data & analytics

  • Proven track record managing $6M-$10M+ in practice revenue

  • Direct experience leading complex B2B sales cycles in professional services

  • History of building or scaling a go-to-market function

  • Demonstrated ability to create pipeline, qualify opportunities, and close deals

  • Track record of meeting or exceeding revenue targets in competitive markets

  • Skilled at navigating complex stakeholder landscapes and building executive relationships

  • Strong fluency in the data & analytics technology ecosystem, including cloud platforms, AI/ML, and modern data tools

  • Ability to architect solutions and speak credibly with technical buyers

  • Understanding of modern data architecture patterns and AI/ML applications

  • Entrepreneurial mindset with bias toward action

  • Exceptional communication and presentation skills at all levels

  • Strategic thinker who can also execute


Core Competencies

Demonstrates extensive experience in leading complex B2B sales cycles and managing significant practice revenue, with a strong focus on data and analytics technologies. Capable of architecting innovative solutions and building strategic partnerships while fostering a culture of excellence and accountability.


Highest-signal resume keywords

  • B2B Sales Cycle Management

  • Data & Analytics Technology Ecosystem

  • Solution Architecture

  • Revenue Target Achievement

  • Stakeholder Relationship Building


ATS Optimization Keywords
Hard Skills

  • Sales Pipeline Development

  • Revenue Management

  • Market Strategy Execution

  • Sales Playbook Development

  • RFP Management

  • Proof-of-Concept Initiatives

  • Data Architecture Understanding

  • AI/ML Applications Knowledge

  • Complex Pursuit Leadership

  • Sales Metrics Tracking


Soft Skills

  • Exceptional Communication Skills

  • Strategic Thinking

  • Mentoring

  • Entrepreneurial Mindset

  • Continuous Improvement Focus


Industry Keywords

  • Consulting

  • Professional Services

  • Data & Analytics

  • Go-to-Market Function

  • Executive Relationships


Tools & Technologies

  • Snowflake

  • Databricks

  • AWS

  • Microsoft

  • OpenAI

  • Anthropic

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