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Annotation Labelling Jobs in Nebraska (NOW HIRING)

Marble

Senior Data Engineer

Omaha, NE · On-site

$101K - $137K/yr

... for labeling data, CV pipeline pre-annotation, dataset generation, and versioning • Ensure data quality, validation, integrity, and lineage, including automated tests and monitoring across ...

Marble

Senior Data Engineer

Lincoln, NE · On-site

$92K - $125K/yr

... for labeling data, CV pipeline pre-annotation, dataset generation, and versioning • Ensure data quality, validation, integrity, and lineage, including automated tests and monitoring across ...

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Annotation Labelling information

What is annotation labelling?

Annotation labelling is the process of tagging or marking data—such as images, text, or audio—with relevant information or labels. This is an essential step in preparing datasets for machine learning and artificial intelligence models, as it helps algorithms understand and learn from raw data. Annotation labelling can include tasks like identifying objects in photos, transcribing speech, or categorizing text. Skilled annotators ensure accuracy and consistency to improve model performance. People in this role often use specialized tools or software to streamline and standardize the annotation process.

What are the key skills and qualifications needed to thrive as an Annotation Labelling Specialist, and why are they important?

To thrive as an Annotation Labelling Specialist, you need strong attention to detail, data analysis capabilities, and familiarity with data annotation standards, usually supported by a background in computer science or related fields. Proficiency with annotation tools such as Labelbox, CVAT, or Supervisely, and sometimes knowledge of basic programming or scripting, is typically required. Excellent communication, consistency, and the ability to follow complex instructions are crucial soft skills for producing high-quality labeled data. These skills ensure the accuracy and reliability of datasets, which are foundational for successful machine learning and AI model development.

What are some common challenges faced by Annotation Labelling professionals, and how can they be managed?

Annotation Labelling professionals often encounter challenges such as maintaining high accuracy while handling repetitive data, meeting tight deadlines, and adapting to evolving project guidelines. To manage these, it’s important to develop strong attention to detail, regularly communicate with team leads to clarify instructions, and leverage annotation tools efficiently. Collaborating closely with quality assurance teams can also help identify and correct errors early, ensuring consistently high-quality outputs.

What is the difference between Annotation Labelling vs Data Labeling Specialist?

AspectAnnotation LabellingData Labeling Specialist
CredentialsBasic technical skills, attention to detailSimilar skills, sometimes additional domain knowledge
Work EnvironmentData annotation platforms, remote or officeData annotation tasks, often remote or in-office
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, healthcare, retail
Search & ComparisonCommonly compared for entry-level data tasksRelated but broader role

Annotation Labelling involves marking data such as images, text, or videos to train AI models. Data Labeling Specialists perform similar tasks but may have a broader scope, including verifying and managing labeled data. Both roles are essential in AI development, often overlapping in skills and work environment, but Annotation Labelling is more focused on the annotation process itself.

What are popular job titles related to Annotation Labelling jobs in Nebraska? For Annotation Labelling jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Annotation Labelling jobs in Nebraska look for? The top searched job categories for Annotation Labelling jobs in Nebraska are:
What cities in Nebraska are hiring for Annotation Labelling jobs? Cities in Nebraska with the most Annotation Labelling job openings:
Annotation Labelling jobs near you
Senior Data Engineer

Senior Data Engineer

Marble

Omaha, NE • On-site

$101K - $137K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Marble is a technology company founded to revolutionize the food processing industry. As a Senior Data Engineer, you will design, implement, and support automation solutions that transform the industry, focusing on building scalable data pipelines and collaborating with various teams to ensure efficient data flow.
Responsibilities:
• Architect and build scalable ETL/ELT pipelines for both batch and streaming workloads
• Design real-time ingestion and transformation workflows integrating NATS JetStream and distributed microservices
• Develop robust data models and ETL layers for ClickHouse, enabling high-performance analytics and ML feature extraction
• Manage and optimize data storage across AWS S3, ClickHouse, and operational datasets generated on-prem
• Build automation workflows for labeling data, CV pipeline pre-annotation, dataset generation, and versioning
• Ensure data quality, validation, integrity, and lineage, including automated tests and monitoring across pipelines
• Collaborate with ML and backend teams to deliver pipelines for training datasets and annotation tools. Implement scalable compute workloads for large dataset transformations
• Define and enforce data governance best practices, including schema evolution, retention policies, and compliance requirements
• Monitor and improve data pipeline performance across multi-region environments
Qualifications:
Required:
• B.S. or M.S. in Computer Science, Data Engineering, or related field
• 4+ years of experience building production-grade data pipelines or distributed systems
• Strong proficiency in Python and SQL
• Production experience with at least one major distributed compute framework, Apache Spark, Ray, or Apache Airflow (2+ years preferred)
• Experience building streaming pipelines or real-time systems (Kafka, NATS, Redis Streams, or similar)
• Deep familiarity with AWS cloud services (S3, Lambda, IAM, EC2, Glue etc.)
• Experience with PostgreSQL, MongoDB, Clickhouse or other columnar/NoSQL systems
• Strong understanding of data modeling, partitioning, schema evolution, and performance tuning
• Understanding of data quality, lineage, orchestration, and governance
• Ability to design systems in hybrid environments (on-prem + cloud)
• Excellent communication, documentation, and teamwork skills
Preferred:
• Experience with NATS JetStream, Kafka, or high-throughput messaging systems
• Familiarity with GPU-based CV pipelines, ML datasets, or annotation workflows
• Experience with ClickHouse Materialized Views, Replicated Tables, or S3-backed storage
• Experience working in a regulated, safety-critical, or high-uptime environment
• Experience with Nomad, Consul, Vault, or HashiCorp ecosystem
Company:
Marble is a developer of intelligent technology for meat processing. Founded in 2020, the company is headquartered in Cambridge, USA, with a team of 11-50 employees. The company is currently Early Stage.

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