2

Remote Data Annotation Analyst Jobs in Kansas (NOW HIRING)

Scopely is looking for a Data Analyst to join our Marvel Strike Force remotely in the United States or Canada on a remote basis At Scopely, we care deeply about what we do and want to inspire play ...

Sr Data & AI Scientist

Leawood, KS · On-site +1

$151K - $215K/yr

This role designs and implements advanced analytical and AI/LLM-based solutions - including ... You will work a hybrid schedule from our Leawood, KS or will consider remote within the United ...

Role & Team We are excited to add a Staff Data Scientist, Wildfire to our team. This individual ... Deep expertise in remote sensing and geospatial analysis, including working with satellite imagery ...

$98K - $118K/yr

Comfortable modeling data across relational and document-based systems, analyzing schemas, and ... Environment US/LatAm-based remote working within PT/ET time zones with the potential for occasional ...

Senior Data Engineer

Kansas, KS · On-site +1

$93K - $127K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... Data Enablement for Analytics & Data Science: Partner closely with data scientists to prepare ...

Senior Data Engineer | Emerging Products

Kansas, KS · On-site +1

$93K - $127K/yr

... analysts and data scientists who depend on it. This is an exciting opportunity to work on ... Location -- We are flexible on remote working from home, if you are located in the USA and reside ...

Senior Data Engineer | Emerging Products

Kansas, KS · On-site +1

$93K - $127K/yr

... analysts and data scientists who depend on it. This is an exciting opportunity to work on ... Location -- We are flexible on remote working from home, if you are located in the USA and reside ...

Provides financial management, conducts analyses of financial data, provides budget analyses for ... Provides on-site and remote financial technical assistance to country-based staff and provides ...

Provides financial management, conducts analyses of financial data, provides budget analyses for ... Provides on-site and remote financial technical assistance to country-based staff and provides ...

... data and compliance services for insurance professionals. Together with the NAIC and the insurance ... The Customer Service Analyst I (CSA I) is a remote customer support position responsible for ...

... data and compliance services for insurance professionals. Together with the NAIC and the insurance ... The Customer Service Analyst I (CSA I) is a remote customer support position responsible for ...

next page

Showing results 1-20

Remote Data Annotation Analyst information

What is a remote data annotation analyst?

Remote Data Annotation Analysts are professionals who label, categorize, or tag data—such as images, text, audio, or video—from a remote location. Their work helps train machine learning algorithms by providing structured datasets that computers can learn from. These analysts use specialized tools to identify relevant features in raw data, ensuring accuracy and consistency. The role often requires attention to detail, basic technical skills, and the ability to follow specific guidelines or instructions. This position is commonly found in industries like artificial intelligence, autonomous vehicles, and natural language processing.

What are the key skills and qualifications needed to thrive as a remote data annotation analyst?

To thrive as a Remote Data Annotation Analyst, you need strong attention to detail, analytical thinking, and a high school diploma or equivalent, with many roles preferring experience in data-related tasks. Familiarity with data annotation platforms (like Labelbox or AWS SageMaker Ground Truth) and basic understanding of data management tools are typically required. Excellent time management, self-motivation, and clear communication help analysts manage remote workloads and collaborate effectively with distributed teams. These skills ensure accurate, high-quality annotated data essential for training and validating machine learning models.

How does a remote data annotation analyst typically collaborate with team members and ensure consistent labeling standards?

As a Remote Data Annotation Analyst, you’ll frequently work within a distributed team, using collaboration tools such as Slack, project management platforms, and shared annotation guidelines. Regular virtual meetings and feedback sessions help ensure everyone applies labeling standards consistently and resolves ambiguities. It’s common to review peer annotations and participate in quality assurance checks, promoting a culture of accuracy and continuous improvement. Clear communication and attention to detail are essential for maintaining high-quality annotated datasets across the team.

What is the difference between Remote Data Annotation Analyst vs Remote Data Labeler?

AspectRemote Data Annotation AnalystRemote Data Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentHome-based, flexible hoursHome-based, flexible hours
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnalyzing and verifying labeled data, quality controlLabeling data, annotating images, text, or audio

The main difference is that Remote Data Annotation Analysts focus on verifying and ensuring the quality of labeled data, often involving analysis and review, while Remote Data Labelers primarily perform the task of labeling or annotating raw data. Both roles are essential in AI development and share similar work environments and skill requirements, but their specific responsibilities differ in scope and focus.

What are the most commonly searched types of Data Annotation Analyst jobs in Kansas?

The most popular types of Data Annotation Analyst jobs in Kansas are:

What are popular job titles related to Remote Data Annotation Analyst jobs in Kansas?

For Remote Data Annotation Analyst jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Remote Data Annotation Analyst jobs in Kansas look for?

The top searched job categories for Remote Data Annotation Analyst jobs in Kansas are:

What cities in Kansas are hiring for Remote Data Annotation Analyst jobs?

Cities in Kansas with the most Remote Data Annotation Analyst job openings:

Infographic showing various Remote Data Annotation Analyst job openings in Kansas as of June 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Data Analyst - Marvel Strike Force

On-site, Remote

Scopely
Arts, Entertainment, and Recreation • 1 - 5K employees

Full-time

Re-posted 10 days ago


Job description

Scopely is looking for a Data Analyst to join our Marvel Strike Force remotely in the United States or Canada on a remote basis

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. 

Marvel Strike Force is Scopely's squad-based Hero Collector RPG, housing heroes and villains across the Marvel Universe.

What You Will Do
  • Use AI-enabled tools thoughtfully to accelerate analytical workflows, including data exploration, SQL/Python development, documentation, QA, summarization, and insight generation, while maintaining strong judgment around data quality, accuracy, privacy, and business context
  • Partner with product, design, economy, live operations, marketing, and leadership teams to turn data into clear insights that improve player engagement, retention, monetization, and long-term game health
  • Own recurring business-health reporting for Marvel Strike Force, including KPI reads, trend context, variance explanations, and executive-ready narratives for what changed, why it changed, and what to do next
  • Analyze player behavior across onboarding, progression, events, offers, combat modes, and other core game systems to identify risks, opportunities, and player-impacting friction
  • Design and validate analytics tracking for new features, live events, player offers, and experiments so teams can measure performance accurately from launch onwar
What We're Looking For
  • B.Tech/BS in Computer Science, Statistics, Math, Physics or other quantitative disciplines
  • 2+ years of experience in data analytics, product analytics, business analytics, financial analysis, data science, or a similar quantitative role
  • 2+ years' experience using SQL/Python, including complex queries from multiple data sources
  • 2+ years' experience creating reports using Tableau/Looker or a similar reporting system
  • Curiosity and hands-on interest in using AI tools to improve analytics workflows, with the judgment to validate outputs, protect sensitive data, and distinguish useful acceleration from unsupported conclusions
  • Familiarity with experimentation, including A/B test design, metric selection, statistical significance, guardrail metrics, and post-test interpretation
  • Excellent communication and storytelling skills, with the ability to turn detailed analysis into concise, actionable recommendations for both technical and non-technical partners
  • Comfort working quickly in a live-service environment where priorities shift, data is imperfect, and decisions often need both speed and rigor

Bonus Points

  • Demonstrates openness to using AI-enabled tools to improve analytical workflows, accelerate insight generation, and support high-quality data-driven decision-making
  • Passion for games and curiosity about what motivates players, especially in RPG, hero collector, strategy, or squad-based combat games
  • Advanced degrees a plus
  • 2+ years within the mobile gaming domain
  • Experience analyzing player lifecycle metrics such as onboarding, funnels, retention, engagement, progression, monetization, economy health, offers, events, or churn
  • Experience with modern analytics workflows such as dbt, Snowflake, BigQuery, Git, notebook-based analysis, or reusable data models

Please ensure that the resume/CV you attach is written in English.