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Senior Data Annotation Analyst Jobs in Nebraska (NOW HIRING)

Senior Data Architect

Omaha, NE

$64.25 - $86/hr

As a Data Architect, you will act as a primary consultant to senior management, formulating ... Analytical Prowess: Exceptional ability to read code, understand complex technical issues, and ...

The Data Systems Analyst serves as an independent quality function within the Data Engineering organization, partnering closely with business stakeholders, data engineers, data architects, product ...

Data Analyst

Omaha, NE ยท On-site

Senior Data Analyst responsible for leading reporting and analytics initiatives across operations, with a focus on scalable reporting, operational insights, and data-driven decision-making. * Design ...

Sr Data Analytics Developer Apply now Job no: 504881 Work type: Full Time Regular Location: Remote Categories: Analytics/Data Science In this role, you'll spend your day analyzing and connecting data ...

Senior Data Engineer

Omaha, NE ยท On-site

$101K - $137K/yr

In the role of Senior Data Engineer, we'll count on you to: โ€ข Design scalable pipelines and ... analysis and safer change. โ€ข Define a testing strategy and ensure appropriate coverage for ...

Senior Data Engineer

Omaha, NE

$101K - $137K/yr

In the role of Senior Data Engineer, we'll count on you to: Design scalable pipelines and ... Lead incident response and root cause analysis; improve resilience through preventative controls.

... a Senior Data Engineer to play a key role in transforming their enterprise data ecosystem ... Lead the design and build of a Snowflake-based data warehouse to support enterprise analytics and ...

... a Senior Data Engineer to play a key role in transforming their enterprise data ecosystem ... Lead the design and build of a Snowflake-based data warehouse to support enterprise analytics and ...

... a Senior Data Engineer to play a key role in transforming their enterprise data ecosystem ... Lead the design and build of a Snowflake-based data warehouse to support enterprise analytics and ...

Position Title Data Scientist Sr Location Atlanta, GA 30305 Job Summary The Data Scientist Sr ... Independently perform data analytics (ranging from data analysis, regression to machine learning ...

Position Title Data Scientist Sr Location Atlanta, GA 30305 Job Summary The Data Scientist Sr ... Independently perform data analytics (ranging from data analysis, regression to machine learning ...

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Senior Data Annotation Analyst information

Is it difficult to get a job at data annotation?

Securing a position as a Senior Data Annotation Analyst typically requires attention to detail, familiarity with annotation tools, and basic understanding of data labeling processes. While some roles may require prior experience or specific skills, entry-level positions are often accessible with relevant training or certifications. The difficulty varies depending on the company's requirements and the competitiveness of the job market.

Does data annotation actually pay well?

Data annotation analysts typically earn hourly wages that are considered modest compared to other tech roles, with pay often ranging from minimum wage to around $15-$20 per hour depending on experience and location. While some companies offer bonuses or flexible schedules, overall compensation for entry-level data annotation positions is generally lower than more specialized data science or engineering roles.

What are Senior Data Annotation Analysts?

Senior Data Annotation Analysts are experienced professionals who oversee the process of labeling and tagging data, such as text, images, or audio, to train machine learning models. They are responsible for ensuring high-quality annotations, developing guidelines, and often mentoring junior annotators. Their work is crucial for the success of AI and machine learning projects, as accurate data annotation directly impacts model performance. Senior analysts also collaborate with data scientists and engineers to refine annotation processes and improve data quality.

What does a data annotation analyst do?

A data annotation analyst labels and categorizes data such as images, text, or videos to help train machine learning models. They use tools and guidelines to ensure data is accurately annotated, which is essential for developing reliable AI systems. Attention to detail and understanding of data formats are important in this role.

What are the key skills and qualifications needed to thrive as a Senior Data Annotation Analyst, and why are they important?

To thrive as a Senior Data Annotation Analyst, you need expertise in data labeling, analytical thinking, and a strong understanding of machine learning concepts, often supported by a relevant degree or significant experience in data operations. Familiarity with annotation platforms (like Labelbox or Supervisely), data management tools, and quality assurance processes is typically required. Attention to detail, problem-solving, and the ability to communicate feedback effectively are crucial soft skills for this role. These competencies ensure high-quality data sets that drive accurate machine learning models and improve project outcomes.

How does a Senior Data Annotation Analyst typically collaborate with machine learning engineers and data scientists?

As a Senior Data Annotation Analyst, you will often work closely with machine learning engineers and data scientists to ensure that labeled data meets project requirements and quality standards. You may participate in meetings to discuss annotation guidelines, clarify ambiguous cases, and provide feedback on data challenges that arise. Your expertise in annotation tools and processes helps streamline workflows and ensures that the annotated datasets are reliable, which is critical for model training and evaluation. Collaboration is key, and you'll be expected to communicate effectively across teams to address issues and continuously improve the data pipeline.

What is the difference between Senior Data Annotation Analyst vs Data Annotation Specialist?

AspectSenior Data Annotation AnalystData Annotation Specialist
CredentialsBachelor's degree in related field, experience in data annotationHigh school diploma or equivalent, entry-level experience
Work EnvironmentCollaborative teams, project management, quality assuranceIndividual tasks, data labeling, basic quality checks
Industry UsageTech, AI, machine learning companiesAI startups, data labeling firms, research projects

The Senior Data Annotation Analyst typically has more experience, handles complex annotation projects, and oversees quality control, whereas the Data Annotation Specialist focuses on basic labeling tasks. Both roles are essential in AI data preparation, but the senior analyst often leads projects and ensures standards are met.

What is the highest salary for data annotator?

The highest salary for a senior data annotation analyst can reach around $70,000 to $90,000 annually, depending on experience, location, and the complexity of annotation tasks. Advanced roles with specialized skills or certifications may offer higher compensation, especially in competitive tech markets.
What are the most commonly searched types of Data Annotation Analyst jobs in Nebraska? The most popular types of Data Annotation Analyst jobs in Nebraska are:
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What cities in Nebraska are hiring for Senior Data Annotation Analyst jobs? Cities in Nebraska with the most Senior Data Annotation Analyst job openings:

Senior Data Enablement Analyst

ConAgra Foods, Lamb Weston

Omaha, NE โ€ข Hybrid

$81K - $118K/yr

Full-time

Medical, Retirement, PTO

Posted 20 days ago


Job description

Reporting to the Manager of Information Technology, you will provide governance oversight of data products that support the daily operations of the shared service and advance the enterprise data vision through technical expertise and strong cross-functional communication. You will work hands-on across data analysis, modeling, governance, and solution design to ensure data products are reliable, well-governed, and scalable, partnering closely with engineers, architects, analysts, and business teams to translate business needs into technical data requirements and guide solutions from concept through execution in an Agile environment. You bring both a strategic perspective and deep technical credibility, earning trust through hands-on data expertise and the ability to influence outcomes across teams. A Taste of Your Responsibilities Implement the Enterprise Data Platform governance program, design new data processes, and modernize enterprise data policies and standards.Serve as a hands-on player/coach by contributing to requirements gathering and solution design while mentoring partners on data quality, analytical design, and governance best practices.Drive the operationalization of data governance, including metadata management, lineage, ownership, stewardship, policy compliance, and automated data quality controls across the enterprise.Communicate and advocate for strategic IT practices, governance policies, and enterprise goals; coach partners through transitions by presenting complex ideas in clear, digestible ways.Identify holistic and automated approaches to refine and transform data governance processes.Lead structured problem solving by developing hypotheses, analyzing data, and coaching others in deductive and inductive reasoning.Monitor and measure operational metrics, value realization, and ROI to ensure products deliver optimal value.Act as an escalation contact and resolve conflict across internal and external partners.Work in an Agile team environment.Exemplify our values of Integrity, External Focus, Broad-mindedness, Agility, Leadership, and Results while fostering a vibrant culture.Ingredients Required for Your Success Bachelor's degree in business, technology, or a related field, with 4+ years of experience in data, analytics, or data-platform-adjacent roles.Foundation in data modeling concepts and how data models support analytics, reporting, and downstream consumption; experience with Microsoft Fabric or Databricks is preferred.Working knowledge of modern data platforms (e.g., governance tools, cloud data warehouses, lakehouse architectures), strong SQL skills, and experience with end-to-end data pipelines (ingestion, transformation, and consumption).Practical experience implementing or operationalizing data governance, including metadata, lineage, ownership, stewardship, and quality controls.Experience partnering with data engineers and architects, reviewing technical designs, challenging assumptions, and guiding implementation decisions.Familiarity with DevOps / CI/CD concepts for data, including version control and deployment practices.Travel up to 10%.Number of Days in Office: 3 #LI-Hybrid #LI-SG1 #LI-MSL Compensation: Pay Range:$81,000-$118,000The annual salary listed above is the expected offering for this position. An employee's actual annual salary will be based on but not limited to: location, relevant experience/level and skillset, while balancing internal Conagra employees' equity. Conagra Brands will comply with applicable law regarding minimum salaries for exempt employees.Our Benefits:We care about your total well-being and will support you with the following, subject to your location and role:Health: Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursementWealth: Great pay, bonus incentive opportunity, matching 401(k) and stock purchase planGrowth: Career development opportunities, employee resource groups, on-demand learning and tuition reimbursementBalance: Paid-time off, parental leave, flexible work-schedules (subject to your location and role) and volunteer opportunitiesOur Company:At Conagra Brands, we have a rich heritage of making great food. We aspire to have the most impactful, energized and inclusive culture in food. As a member of our 18,000+ person team across 40+ locations, you are empowered to reach your potential, make an impact and own your career. We're in the business of building champions - within our people and our iconic brands like Birds Eye ®, Slim Jim® and Reddi-Wip®.Our focus on innovation extends beyond making great food, it also reflects our commitment to embracing new solutions that positively impact our team, the communities we serve and the health of our planet. Foodies Welcome.Conagra Brands is an equal opportunity employer and considers qualified applicants for employment without regard to sex, race, color, religion, ethnic or national origin, gender, sexual orientation, gender identity or expression, age, pregnancy, leave status, disability, veteran status, genetic information and/or any other characteristic or status protected by national, federal, state or local law. Reasonable accommodation may be made upon request.