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Weekend Data Annotation Jobs in Texas (NOW HIRING)

Monday - Friday / 0630 - 1700 - based on business needs / Weekend rotation Working as a ... Accurately enter data into clinical systems and maintain knowledge of billing/coding standards.

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.

Is it hard to get hired for data annotation?

Getting hired for a data annotation role generally depends on the applicant's attention to detail, basic computer skills, and ability to follow instructions. Many positions are entry-level and do not require advanced qualifications, making them accessible to a wide range of candidates. However, competition can vary based on the employer and the specific project requirements.

What are some typical challenges faced by weekend data annotation specialists, 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.

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

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 are Weekend Data Annotation jobs?

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.

Can I do data annotation with no experience?

Weekend data annotation roles typically do not require prior experience, as training is often provided. Basic computer skills and attention to detail are usually sufficient to get started, making it accessible for beginners. Familiarity with annotation tools can be helpful but is not always mandatory.

Are there less data annotation projects on weekends?

Data annotation projects for weekend data annotation roles often vary depending on the employer and project deadlines. Some companies may have fewer projects or lower activity levels on weekends, while others continue to assign tasks if remote work and flexible schedules are available. Overall, workload fluctuations are common and depend on project timelines and client needs.

Does data annotation actually pay you?

Data annotation jobs, including weekend data annotation roles, typically pay hourly or per task rates, with compensation varying by employer and location. Many companies offer remote work opportunities, and payment is usually processed through direct deposit or online platforms. It is a legitimate form of employment for those with attention to detail and basic computer skills.
What are the most commonly searched types of Data Annotation jobs in Texas? The most popular types of Data Annotation jobs in Texas are:
What job categories do people searching Weekend Data Annotation jobs in Texas look for? The top searched job categories for Weekend Data Annotation jobs in Texas are:
What cities in Texas are hiring for Weekend Data Annotation jobs? Cities in Texas with the most Weekend Data Annotation job openings:
Clinical Applications Specialist (Burbank, CA)

Clinical Applications Specialist (Burbank, CA)

Perimeter Medical Imaging AI

Dallas, TX โ€ข On-site

Full-time

Posted 21 days ago


Job description

CLINICAL APPLICATIONS SPECIALIST (Burbank, California area)
Perimeter Medical Imaging AI is a medical technology company driven to transform cancer surgery with its ultra-high resolution imaging technology to achieve our mission of advancing the standard of care, improving patient outcomes, and reducing healthcare costs. Our ultra-high-resolution, real-time, advanced imaging tools address areas of high unmet medical need.
With headquarters in Toronto, Canada and U.S. headquarters in Dallas, Texas, Perimeter Medical Imaging (TSXV:PINK)(FSE:4PC) has launched the next generation of imaging technology that allows surgeons to visualize microscopic tissue structures with unparalleled clarity in the operating room.
Clinical Applications Specialist Job Description
The Clinical Application Specialist (CAS) provides on-site support for clinical imaging product demonstrations, device use, and procedural support in live surgical settings for an advanced medical imaging technology in the oncology space. Travel is required up to 85% of the time (~4 days per week) and may include some overnights, weekends, and holidays.
Responsibilities:
  • Provide on-site product demonstrations, new customer onboarding, educational in services, quarterly business reviews with Market Development Managers and technical and procedural support for fast paced live surgical settings
  • Act as an expert user for Perimeter OCT devices and image interpretation
  • Provide customers and end users with product, clinical, technical, educational, and sales support to maximize recurring revenue, utilization of company products, and customer service objectives
  • Provide image training and device use to internal employees and external clinical and commercial users
  • Provide continued onsite procedural and technical support for all Perimeter products to clinical and commercial users, clinicians, health care providers, and investigators
  • Prepare and deliver professional clinical case reports and presentations that include medical images, relevant information and laboratory results to the customer for case review and product evaluation
  • Identify, troubleshoot, and communicate product issues that occur in the field
  • Develop and implement activities to achieve and exceed the company's clinical and sales objectives.
  • Expand Perimeter OCT usage in existing accounts by identifying potential new surgeons and/or surgeries
  • Prospect for new system installations and system upgrades to your assigned accounts
  • Provide effective and timely customer communication and feedback back to the company
  • Provide SME and data annotation of medical images towards the development of AI algorithms
  • Contribute to internal and external training program initiatives when assigned by the product team

Qualifications:
  • Bachelor's degree or equivalent with 3 years of clinical industry experience or an allied health professional degree ( RN, MRT (r, T), RRT, PA etc).
  • Experience with operations management of health care facilities.
  • Proven key account management.
  • Ability and willingness to travel extensively 85% (~4 days per week including overnight, some weekends and holidays) within the U.S.
  • Willingness to provide technical and procedural support in a fast-paced live surgical environment
  • Must be willing to satisfy medical credentialing agency requirements, including proof of specific immunizations and titers, background checks, and drug screening
  • Ability to quickly understand and communicate technical concepts
  • Demonstrated ability to analyze customer data and develop clinical programs to support customers
  • Demonstrate proficiency in Microsoft Office Suite, Google Workspace, DICOM viewers, and other digital tools; possess strong overall technical acumen to support product use, and image analysis.
  • Strong critical thinking and analytical skills
  • Proven track record of relationship building skills.
  • High-level presentation skills; able to present ideas to customers in a way that produces understanding and impact.
  • Articulate communicator, a people person, competitive, team player.
    Exceptional level of accountability and integrity