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Flexible Data Encoder Jobs (NOW HIRING)

Encode INC

Travel Lead - Pharmacist

Peridot, AZ · On-site

$55.75 - $67/hr

Encode INC is seeking a travel Pharmacist Lead for a travel job in Peridot, Arizona. & Requirements ... SCHEDULE: • Flexible scheduling with 8-hour or 10-hour shifts. • Days and hours may vary based ...

Prealize Health

Staff Data Scientist (Core Platform)

$170K - $200K/yr

Partner with clinicians to encode medical domain knowledge into model architectures and work with ... Flexible work environment * Competitive base salary plus a generous bonus and equity plan * Paid ...

PhysicsX

Senior Computer Vision Data Scientist

New York, NY · On-site

$120K - $240K/yr

Deep expertise in selecting, adapting, and fine-tuning pretrained vision encoders (ViT, DINOv3 ... Flexible Spending Account (FSA) - set aside pre-tax dollars for eligible healthcare expenses. Watch ...

Managed Staffing

Outpatient Coder

TX · Remote

$45 - $46/hr

Sunday-Saturday, between 5:00 AM - 11:00 PM CST (Must be flexible to work any 5x8-hour shift ... Abstract key data elements (e.g., physician, procedure date, disposition). * Recognize and escalate ...

CGH Medical Center

$17.95 - $26.93/hr

... encoder to properly assign ICD-10-CM codes, adhering to the Uniform Hospital Discharge Data Set ... and Dependent Care Flexible Spending Life Insurance Short and Long Term Disability Optional ...

CGH Medical Center

Outpatient Coding Specialist, Remote

$17.95 - $26.93/hr

... encoder to properly assign ICD-10-CM codes, adhering to the Uniform Hospital Discharge Data Set ... and Dependent Care Flexible Spending Life Insurance Short and Long Term Disability Optional ...

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Flexible Data Encoder information

What is the difference between Flexible Data Encoder vs Data Entry Clerk?

AspectFlexible Data EncoderData Entry Clerk
Required CredentialsBasic computer skills, sometimes certifications in data managementHigh school diploma, basic computer skills
Work EnvironmentOffice settings, remote options, data processing centersOffice environments, data input stations
Employer & Industry UsageBusinesses, healthcare, finance, government agenciesAdministrative offices, retail, healthcare
Common Search & ComparisonData management, flexible data input rolesData entry, clerical work

The main difference between a Flexible Data Encoder and a Data Entry Clerk lies in their scope and flexibility. Flexible Data Encoders often handle various data formats and may work remotely, with a focus on data management and processing. Data Entry Clerks typically focus on inputting data into systems within office settings. Both roles require basic computer skills, but Flexible Data Encoders may need additional knowledge of data management tools, making their role more adaptable and versatile.

What is a flexible data encoder?

Flexible Data Encoders are professionals responsible for entering, updating, and managing data in various formats across different platforms or databases. Their tasks often include transcribing information, verifying data accuracy, and ensuring data is categorized correctly for easy retrieval and analysis. The 'flexible' aspect refers to their ability to adapt to different data systems, project requirements, and sometimes remote or varied work schedules. These roles are essential in industries that rely on accurate data processing, such as healthcare, finance, and e-commerce.

What skills and qualifications are needed to thrive as a flexible data encoder?

To thrive as a Flexible Data Encoder, you need strong attention to detail, accuracy, and proficiency in typing, often backed by a high school diploma or equivalent. Familiarity with data entry software, spreadsheet programs like Microsoft Excel, and sometimes database management systems is typically required. Excellent time management, adaptability, and effective communication are soft skills that set top performers apart. These abilities ensure data integrity, efficient workflow, and the ability to meet tight deadlines in dynamic work environments.

What challenges does a flexible data encoder face when managing multiple data sources and formats?

Flexible Data Encoders often work with a variety of data types and sources, which can present challenges such as ensuring data consistency, accuracy, and timely entry across different platforms. Adapting quickly to new software or data input standards is also common, as clients or projects may require unique formatting or validation rules. Successful candidates should be comfortable juggling multiple tasks, troubleshooting discrepancies, and communicating effectively with team members or supervisors to resolve issues promptly.
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What are the most commonly searched types of Data Encoder jobs? The most popular types of Data Encoder jobs are:
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What job categories do people searching Flexible Data Encoder jobs look for? The top searched job categories for Flexible Data Encoder jobs are:
Flexible Data Encoder jobs near you
Infographic showing various Flexible Data Encoder job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 30% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Machine Learning Engineer

Escalon Services, LLC.

Santa Monica, CA • On-site

$100K - $120K/yr

Full-time

Medical, PTO

Posted 6 days ago

Job description


About Our Client

Our client is a technology company developing next-generation intelligent systems at the intersection of AI, XR, robotics, autonomy, and spatial computing. Their products support mission-critical applications across defense, public safety, and critical infrastructure. They are seeking passionate professionals who thrive in fast-paced environments and enjoy building impactful products from concept to deployment.

The Role

Our client is seeking a Machine Learning Engineer to help design and implement intelligent systems that extract meaning and predictive value from computer vision and behavioral datasets. This is a junior-level, in-person role suited for candidates with 2-3 years of experience and a solid foundation in deep learning, embeddings, and modern neural architectures.

As a member of the AI team, the ideal candidate will work on projects that leverage CNNs, transformer models, and embedding architectures to encode and reason over pose, facial, and action-based visual data. These systems support downstream tasks such as future action prediction, semantic matching, and similarity-based inference.
  • Design and implement machine learning pipelines that encode visual input (pose, face, object/classification) into shared embedding spaces for similarity and predictive tasks.
  • Build and fine-tune convolutional and transformer-based neural architectures optimized for visual recognition and representation learning.
  • Develop encoding and embedding techniques that allow consistent comparison across multiple data types (e.g., pose vectors, facial landmarks, class labels).
  • Apply techniques such as cosine similarity, distance metrics, and latent clustering to perform behavioural inference and action prediction.
  • Contribute to model training, evaluation, and deployment workflows, including data preprocessing, augmentation, hyperparameter tuning, and performance profiling.
  • Collaborate closely with engineers in computer vision, embedded systems, software, and UI/UX to ensure seamless integration of AI pipelines into real-time systems.
  • Produce clean, well-documented code and maintain version-controlled model artefacts and experiment logs.
  • Write technical documentation for models, training procedures, evaluation criteria, and system integration.
  • Bachelor's or Master's degree in Artificial Intelligence, Data Science, Computer Science, Machine Learning, or a closely related discipline.
  • 2-3 years of experience in machine learning roles through internships, academic labs, or early career positions.
  • Strong understanding of Convolutional Neural Networks (CNNs) for image and video-based tasks.
  • Strong understanding of transformer architectures and their applications in vision or multimodal learning.
  • Strong understanding of embedding systems and vector space modeling for semantic and similarity-based tasks.
  • Strong understanding of encoding mechanisms and dimensionality reduction techniques for latent representation.
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Familiarity with pose estimation, facial recognition, or classification models (e.g., OpenPose, MediaPipe, FaceNet, ResNet variants).
  • Experience training models with structured and unstructured visual datasets.
  • Exposure to techniques like cosine similarity, triplet loss, contrastive learning, or temporal prediction modeling.
  • Strong computer science fundamentals, including data structures, algorithms, and software design patterns.
  • Comfort working in Linux-based development environments and version control systems (Git).
  • A collaborative mindset, with excellent communication skills and a willingness to learn across domains.
Bonus (Nice to have):

  • Experience integrating vision-based AI models into embedded or robotics systems.
  • Familiarity with ONNX or TensorRT for model optimization and deployment.
  • Background in sequence modeling, recurrent architectures, or video-based action recognition.
  • Exposure to multimodal AI systems that blend image, pose, and metadata representations.
  • Familiarity with techniques like CLIP, DINO, or self-supervised representation learning.
  • Experience with MLOps or training orchestration tools such as MLflow, Weights & Biases, or DVC.
Other Requirements:
  • Must be a US Citizen or a valid Green Card holder. Visa sponsorship is not available for this role at this time.
  • Candidates must reside within a commutable distance of Santa Monica, California.
  • Compensation:  $100,000 to $120,000 per year
  •  Comprehensive health coverage and flexible PTO
  • Opportunity to work on innovative AI, robotics, XR, and autonomous technologies
  • Collaborative multidisciplinary engineering environment
  • Career growth and professional development opportunities

Apply