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Remote Data Annotation Analyst Jobs in Montana (NOW HIRING)

$109K - $135K/yr

Own the necessary data flows in collaboration with the Data Engineering team, from defining ... Fluent English level Relocation and Employment We offer remote work from anywhere in the world (our ...

Translate data into actionable insights balancing growth and risk * Minimum of 4 years of ... remote work from anywhere in the world (our schedule is based on Dubai time though) and are happy ...

Your work will include designing data structures, ensuring data quality, and creating dashboards ... Relocation and Employment We offer remote work from anywhere in the world (our schedule is based on ...

DemandFactor is a data-driven B2B growth and demand-generation company helping brands find, engage ... Manage marketing KPIs, analytics, attribution, and budget * Build and grow the marketing team What ...

... data within Google Sheets for better reporting and analysis. • Collaborate cross-functionally to support budget adherence and financial compliance. • Assist with ad hoc financial projects and ...

Provide advanced analysis of business data and offer detailed analysis and solutions that can be ... Remote applicants welcome. ESSENTIAL DUTIES AND RESPONSIBILITIES * Provide design, configuration ...

Data Center COE Project Manager

Bozeman, MT · Remote

$131K/yr

Remote in the US #LI-Remote This role is contributing to the Electrification Services Business Area ... Analyzing and addressing project risks, and regularly disseminating lessons learned * Working with ...

Provide advanced analysis of business data and offer detailed analysis and solutions that can be ... Remote applicants welcome. ESSENTIAL DUTIES AND RESPONSIBILITIES * Provide design, configuration ...

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Remote Data Annotation Analyst information

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 are Remote Data Annotation Analysts?

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

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.
What are the most commonly searched types of Data Annotation Analyst jobs in Montana? The most popular types of Data Annotation Analyst jobs in Montana are:
What are popular job titles related to Remote Data Annotation Analyst jobs in Montana? For Remote Data Annotation Analyst jobs in Montana, the most frequently searched job titles are:
What job categories do people searching Remote Data Annotation Analyst jobs in Montana look for? The top searched job categories for Remote Data Annotation Analyst jobs in Montana are:
What cities in Montana are hiring for Remote Data Annotation Analyst jobs? Cities in Montana with the most Remote Data Annotation Analyst job openings:

Data Analytics Engineer

Murdoch\'s Ranch & Home Supply

Bozeman, MT • On-site, Remote

$116K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Job description

Description

We are seeking a highly skilled and experienced Data Analytics Engineer with a strong focus on Microsoft technologies to join our team. As a Data Analytics Engineer, you will play a critical role in designing, implementing, and optimizing data analytics solutions leveraging Microsoft\'s suite of tools and technologies. Your expertise will be instrumental in transforming complex data into actionable insights, driving business growth, and supporting decision-making processes while actively participating in new opportunity pursuits. You will work with retail data domains such as sales, inventory, customer, and finance to design models that power operational and analytical decision-making across the business. This role is very technically focused and will co-own the design and evolution of the company’s Microsoft Fabric Lakehouse architecture, including the downstream Power BI semantic layer. Your workplace is flexible – we have offices in Bozeman Montana or wherever you feel most productive.


 This position can be fully remote for candidates residing in: AZ, CO, FL, GA, IA, ID, MT, MO, NE, NV, NC, PA, SD, TN, TX, UT, VA, WY. 


As a Murdoch’s Team Member in this role, you will … 

  • Collaborate with stakeholders to understand business requirements and translate them into scalable and efficient data analytics solutions.
  • Possess in-depth knowledge and hands-on experience with Microsoft Fabric ecosystem (Lakehouse, PySpark/SQL notebooks, data pipelines, and deployment pipelines). Understanding Microsoft Dynamics as a data source a big plus.
  • Design data models that bridge the Fabric Lakehouse, Power BI semantic models, and reporting layers, ensuring consistency between raw, curated, and business-facing data.
  • Optimize data models to support efficient data storage, retrieval, and analysis, ensuring data integrity, accuracy, and reliability. Knowledge of Fabric capacity (CU) optimization a big plus.
  • Implement data integration pipelines using Microsoft Fabric and other relevant tools to extract, transform, and load data from various sources into a unified data platform.
  • Create visually appealing and interactive dashboards, reports, and visualizations using Microsoft Power BI and DAX language, enabling users to gain valuable insights from data.
  • Identify performance bottlenecks and implement optimizations to improve data processing, query performance, and overall system efficiency.
  • Collaborate with cross-functional teams, providing technical leadership and guidance to data engineers, analysts, and other stakeholders to ensure successful project delivery.
  • Keep abreast of the latest advancements in data analytics technologies (Microsoft based and others) and industry trends, continuously enhancing your expertise and applying best practices in solution design and implementation.


Requirements

 As a Murdochian in this role, you must… 

  • Experience as a Data Engineer owning core data pipelines, with a primary focus on Microsoft Fabric and Azure technologies.
  • Extensive knowledge and hands-on experience with Microsoft Fabric. Including knowledge of medallion architecture using Lakehouse, Pyspark notebooks, data and deployment pipelines. 
  • Experience designing and maintaining scalable semantic models (Power BI / Tabular / DAX) to provide a consistent, governed analytics layer across the business.
  • Establish and maintain best practices for version control, CI/CD, testing, and deployment of data pipelines and semantic models.
  • Proficiency in data visualization techniques using Power BI / DAX.
  • Strong problem-solving skills and ability to design scalable and efficient data analytics architectures.
  • Excellent understanding of data warehousing concepts, data governance, and data quality principles.
  • Solid knowledge of data security and compliance considerations in the context of data analytics.
  • Strong customer service focus for helping the team and business functions with their data analytics needs.
  • Ability to present, facilitate and participate in requirements elicitation and brainstorming sessions with internal and external teams in small and medium group environments. 
  • Track record of building impactful solutions that you are proud to stand behind!

Physical Demands:

  • Sitting for long periods of time.
  • Repetitive wrist movements on keyboard.
  • Close vision for PC work.
  • Bending, carrying, and pushing.
  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job functions.

Competitive Benefits + Compensation:

  •  Amazing Employee Discount on everything from clothes to power tools to pet food.
  •  Multiple Health Insurance* options to best suit your needs after 60 days.
  •  Dental & Vision options to complete your health plan.
  •  Life Insurance to secure your family’s financial future.
  •  Paid Vacation* allows you to relax and recharge.
  •  Holiday Pay throughout the year so you can celebrate with your family.
  •  Paid Sick Time** empowers you to stay home and focus on your health without losing pay.
  •  401(k) with a generous 4% company match to help plan for retirement.
  •  Paid Parental Leave* to take time to bond with your family’s new addition.
  •  Community Giving Program matches your donations and provides paid volunteer hours.
  •  Wellness Program* saves you money by lowering medical premiums with credits earned.
  •  Training Program helps you expand your knowledge and skills with over 250 courses.
  •  Other various Voluntary Insurance Options.

 #LI-CS1