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Remote Data Annotation Analyst Jobs in Georgia (NOW HIRING)

Jobsultant Solutions

Remote Data Analyst

Allenhurst, GA · Remote

The Nations 2nd largest Technical Staffing and Services Firm, has an opening for a Remote Analyst ... data sets into meaningful executive recaps Top Must-Have Skills Bachelors Degree and at least 3-5 ...

Only Data Entry

Junior Data Entry Clerk (Remote)

Atlanta, GA · Remote

$16.25 - $22/hr

As a Remote Data Entry Operator, you will play a pivotal role in ensuring that our data remains pristine and ready for analysis. Responsibilities: Accurately input, update, and maintain large volumes ...

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Remote Data Annotation Analyst information

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.

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.

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Remote Data Annotation Analyst jobs near you

Remote Data Analyst

Jobsultant Solutions

Allenhurst, GA • Remote

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Job description

The Nations 2nd largest Technical Staffing and Services Firm, has an opening for a Remote Analyst at a global leader in retail pharmacy for a 6-month contract with the opportunity for extension or conversion. Summary The Walgreens Merchandise Planning Analytics team manages reporting, analysis, and tool building for the Walgreens Merchandising team. They support a team of 100+ merchants and 40+ planners to optimize performance of the Walgreens Front End (non-Pharmacy) businesses.

Work Environment 100% remote - must work in CST 8am-5pm (9 hour day with one hour lunch break 12pm-1pm). The hours can be flexible per above but minimally need 30 hours a week in order to fulfill the business needs Responsibilities Own Brand (private label) reporting, recapping, tracking, and analysis, including ad-hoc analysis based on business needs Item level historical analysis and recapping Scope will be thousands of Own Brand items (at item level) System/ tool used is Excel Project will involve complex excel formulas and ability to synthesize large data sets into meaningful executive recaps Top Must-Have Skills Bachelors Degree and at least 3-5 year of experience in one or more of the following: analytics, data science, finance, financial analysis, assortment planning, retail, procurement/purchasing, merchandising Minimum 3 years experience in data analytics or other related field with strong understanding of retail merchandising basics (i.e. category management) and merchandising organization structures and processes Outstanding analytical and problem-solving skills partnered with storytelling finesse Ability to conduct complex quantitative analysis and build analytical models using Microsoft Excel Ability to communicate effectively and succinctly both verbally and in writing via Microsoft PowerPoint Ability to manage and prioritize multiple assignments and meet tight deadlines Ability to develop effective working relationships with Merchandising, Planning, Finance and other stakeholders Ability to work independently and adapt to changing work priorities Retail math background; skills such as item level forecasting based on demand patterns or sell through/ sales/ profit goals, knowledge of sales by type and AUR impacts, all inventory and sales metrics Intermediate/Advanced level skill in Microsoft Excel (for example: using SUM/SUMIFS, Subtotals, VLOOKUP, HLOOKUP, Macros, Pivot tables) - CRITICAL SKILL NEEDED FOR ROLE, most work will be done in excel Intermediate level skill in Microsoft Word and PowerPoint Top Nice-to-Have Skills MBA preferred; Science, Technology, Engineering, Mathematics and/or other quantitative analytical degree a plus Data science experience Education / Experience Requirements 3-5 year experience in Analytics or Data Science, Merchandising background #J-18808-Ljbffr

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