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Weekend Data Annotation Jobs in Georgia (NOW HIRING)

BeVera Solutions LLC

Biostatistician (DGHT)

Atlanta, GA · On-site

... data. * Spot-check statistical software code (e.g., R, SAS, STATA) for functionality, annotation ... This position requires a 40-hour work week, excluding federal holidays and weekends. Work Hours ...

BeVera Solutions LLC

Biostatistician (DGHT)

Atlanta, GA · On-site

... data. * Spot-check statistical software code (e.g., R, SAS, STATA) for functionality, annotation ... This position requires a 40-hour work week, excluding federal holidays and weekends. Work Hours ...

BeVera Corps

Biostatistician (DGHT)

Atlanta, GA · On-site

... data. * Spot-check statistical software code (e.g., R, SAS, STATA) for functionality, annotation ... This position requires a 40-hour work week, excluding federal holidays and weekends. Work Hours ...

All JobsData Annotation JobsWeekend Data Annotation JobsWeekend Data Annotation Jobs in Georgia

Weekend Data Annotation information

What is the difference between Weekend Data Annotation vs Data Labeler?

AspectWeekend Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or flexible hours, part-timeRemote or on-site, part-time or full-time
Industry UsageAI training, machine learning projectsAI, autonomous vehicles, healthcare, retail
Search & Comparison IntentYesYes

Weekend Data Annotation and Data Labeler roles both involve labeling data for AI and machine learning. The main difference lies in scheduling; Weekend Data Annotation typically offers flexible, weekend-only hours, making it suitable for part-time workers or students. Data Labelers may work during regular hours and can be employed full-time or part-time. Both roles require similar skills and are used across industries like autonomous vehicles, healthcare, and retail. The choice depends on your availability and preferred work schedule.

What challenges do weekend data annotation specialists face, and how can they be addressed?

Weekend data annotation specialists often encounter challenges such as maintaining focus during repetitive tasks and managing tight turnaround times for projects that require quick weekend processing. To address these issues, it's helpful to take regular short breaks to reduce fatigue and to establish a clear workflow at the start of each shift. Additionally, open communication with team leads about workload and expectations can ensure priorities are clear, making it easier to manage deadlines and collaborate effectively, even outside traditional weekday hours.

Is data annotation a part-time job?

Data annotation jobs, including weekend data annotation roles, are often offered as part-time positions with flexible schedules. Many companies provide remote opportunities that allow workers to choose hours that fit their availability, making it suitable for those seeking part-time work. However, specific hours and commitments can vary depending on the employer and project requirements.

What skills and qualifications are needed for weekend data annotation?

To excel as a Weekend Data Annotation Specialist, you need strong attention to detail, consistency, and familiarity with data labeling processes, often supported by a high school diploma or equivalent. Competence with annotation tools like Labelbox, Supervisely, or proprietary platforms, and sometimes knowledge of basic coding or data formats (e.g., CSV, JSON), is typically required. Reliability, time management, and the ability to follow precise instructions are essential soft skills for this role. These skills ensure high-quality, accurate datasets that are critical for training effective machine learning models.

What is a weekend data annotation job?

Weekend Data Annotation jobs involve labeling, tagging, or categorizing data such as text, images, audio, or video, typically for use in machine learning or artificial intelligence projects. These roles are specifically scheduled for weekends, making them ideal for individuals seeking flexible, part-time work outside of standard weekday hours. Data annotators often work remotely and use specialized tools or platforms to ensure data is accurately and consistently labeled according to project guidelines. This work is crucial for training algorithms to recognize patterns and make predictions in various applications, such as self-driving cars, language translation, or content moderation.
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Weekend Data Annotation jobs near you

Biostatistician (DGHT)

BeVera Solutions LLC

Atlanta, GA • On-site

Full-time

Posted 6 days ago

Job description

Description:

About BeVera Solutions, LLC

BeVera Solutions, LLC is a rapidly growing public health and professional services company that provides innovative solutions to federal and state agencies. Our team supports mission-critical programs through expertise in program management, communications, acquisition, data analytics, and public health initiatives. BeVera’s CEO champions a people-first culture where every employee is valued. The company supports this commitment by offering competitive compensation and meaningful, impactful work assignments.


Recognized as one of Atlanta’s Best Places to Work (2024 & 2025 & 2026) by the Atlanta Business Chronicle, BeVera fosters a culture of integrity, excellence, and collaboration.


Job Description

BeVera Solutions, LLC is seeking an experienced Biostatistician to provide biostatistical review and consultation supporting CDC's global HIV and TB scientific portfolio under PEPFAR, ensuring the statistical validity of protocols, manuscripts, abstracts, reports, and public-use datasets. This position will support services to ensure DGHT can rigorously conduct and cover the science-related functions for the division and for CDC’s PEPFAR program in the efficient and effective implementation and continuity of lifesaving HIV services; reviewing project plans or protocols, manuscripts, and abstracts for the validity of epidemiological methods; ensuring PEPFAR and global TB programs compliance with CDC data management, access, and transparency policy; and coordinating the review and approval of all programs scientific clearances.


NOTE: Position Contingent upon award of contract. This role is part of a pre-award candidate search for an upcoming federal government contract.

Requirements:
  • Review research protocols for study objectives/hypotheses, study design, sample size and statistical power, sampling plans, data collection and analysis plans, data management, security/confidentiality procedures, and data retention plans.
  • Review manuscripts, abstracts, and reports for correctness of statistical methods, appropriateness of design, validity of conclusions, and clarity/consistency of tables, figures, and reported numbers.
  • Review public-release datasets, including data use manuals, codebooks/data dictionaries, survey design and weighting sections, and completeness/quality of data.
  • Spot-check statistical software code (e.g., R, SAS, STATA) for functionality, annotation, and reproducibility of results.
  • Prepare monthly status reports and end-of-period final summary reports.

Minimum Qualifications

  • Minimum of 4 years' experience performing comparable biostatistical review/support duties.
  • Demonstrated proficiency with specialized statistical software (R, SAS, or STATA).
  • Experience supporting protocol and manuscript development.
  • Experience conducting scientific/statistical reviews.
  • Strong critical thinking, analytical, and problem-solving skills.
  • Ability to manage multiple projects and shifting priorities.
  • Excellent written and verbal communication skills; strong attention to detail.
  • Ability to work effectively in a team environment.
  • Attention to detail and commitment to high quality/error free deliverables.
  • Must be eligible to pass a National Agency Check and Inquiries (NACI) investigation and fingerprinting for CDC facility/system access
  • Experience in implementing best practices in a public health setting.
  • This position requires a 40-hour work week, excluding federal holidays and weekends. Work Hours: Full-time, 40 hrs./week, core hours 7:30–9:00 AM start
  • Experience working with/in the CDC
  • Must be a U.S. citizen

Additional Information

All your information will be kept confidential according to EEO guidelines. An Equal Opportunity Employer. BeVera's hiring practices provide equal opportunity for employment without regard to race, religion, color, sex, gender, national origin, age, United States military veteran’s status, ancestry, sexual orientation, marital status, family structure, medical condition including genetic characteristics or information, veteran status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law.

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