Senior Data Scientist
Denver, CO · On-site
Contractor (Contract Only) Standard Hours per Week: 40 Senior Data Scientist - Knowledge Domain ... You'll collaborate cross-functionally to create and scale real-world AI applications that have ...
Senior Data Scientist
Denver, CO · On-site
Contractor (Contract Only) Standard Hours per Week: 40 Senior Data Scientist - Knowledge Domain ... You'll collaborate cross-functionally to create and scale real-world AI applications that have ...
Reinforcement Learning AI Engineer
$99K - $225K/yr
Utilize your expertise in AI, data science, and machine learning (ML) engineering to train, test ... as well as contract-specific affordability and organizational requirements. The projected ...
Reinforcement Learning AI Engineer
$99K - $225K/yr
Utilize your expertise in AI, data science, and machine learning (ML) engineering to train, test ... as well as contract-specific affordability and organizational requirements. The projected ...
Computer Vision AI Engineer
$99K - $225K/yr
In this role, you will leverage your expertise in AI, data science, and machine learning (ML ... as well as contract-specific affordability and organizational requirements. The projected ...
Computer Vision AI Engineer
$99K - $225K/yr
In this role, you will leverage your expertise in AI, data science, and machine learning (ML ... as well as contract-specific affordability and organizational requirements. The projected ...
Computer Vision AI Engineer
$99K - $225K/yr
In this role, you will leverage your expertise in AI, data science, and machine learning (ML ... as well as contract-specific affordability and organizational requirements. The projected ...
Computer Vision AI Engineer
$99K - $225K/yr
In this role, you will leverage your expertise in AI, data science, and machine learning (ML ... as well as contract-specific affordability and organizational requirements. The projected ...
Computer Vision AI Engineer
$99K - $225K/yr
In this role, you will leverage your expertise in AI, data science, and machine learning (ML ... as well as contract-specific affordability and organizational requirements. The projected ...
Computer Vision AI Engineer
$99K - $225K/yr
In this role, you will leverage your expertise in AI, data science, and machine learning (ML ... as well as contract-specific affordability and organizational requirements. The projected ...
Computer Vision AI Engineer
$99K - $225K/yr
In this role, you will leverage your expertise in AI, data science, and machine learning (ML ... as well as contract-specific affordability and organizational requirements. The projected ...
Computer Vision AI Engineer
$99K - $225K/yr
In this role, you will leverage your expertise in AI, data science, and machine learning (ML ... as well as contract-specific affordability and organizational requirements. The projected ...
... contract management, procurement, or vendor management systems. Experience with Dataiku, Camunda, BPMN 2.0, Snowflake, AWS, or similar enterprise AI, data, workflow orchestration, business process ...
... contract management, procurement, or vendor management systems. Experience with Dataiku, Camunda, BPMN 2.0, Snowflake, AWS, or similar enterprise AI, data, workflow orchestration, business process ...
Data runs on STACK. THE POSITION: Principal AI Platform Architect owns the strategic technology ... for contracts, POs, and invoices. * Drive automation and integration delivery with clear ROI ...
Data runs on STACK. THE POSITION: Principal AI Platform Architect owns the strategic technology ... for contracts, POs, and invoices. * Drive automation and integration delivery with clear ROI ...
Data runs on STACK. THE POSITION: Principal AI Platform Architect owns the strategic technology ... for contracts, POs, and invoices. * Drive automation and integration delivery with clear ROI ...
Data runs on STACK. THE POSITION: Principal AI Platform Architect owns the strategic technology ... for contracts, POs, and invoices. * Drive automation and integration delivery with clear ROI ...
... data generation and annotation workflows to ensure coverage, quality, and alignment with product ... best practices for AI experience evaluation as the field matures Preferred Qualifications ...
... data generation and annotation workflows to ensure coverage, quality, and alignment with product ... best practices for AI experience evaluation as the field matures Preferred Qualifications ...
... data generation and annotation workflows to ensure coverage, quality, and alignment with product ... best practices for AI experience evaluation as the field matures Preferred Qualifications ...
... data generation and annotation workflows to ensure coverage, quality, and alignment with product ... best practices for AI experience evaluation as the field matures Preferred Qualifications ...
... data generation and annotation workflows to ensure coverage, quality, and alignment with product ... best practices for AI experience evaluation as the field matures Preferred Qualifications ...
... data generation and annotation workflows to ensure coverage, quality, and alignment with product ... best practices for AI experience evaluation as the field matures Preferred Qualifications ...
... data generation and annotation workflows to ensure coverage, quality, and alignment with product ... best practices for AI experience evaluation as the field matures Preferred Qualifications ...
... data generation and annotation workflows to ensure coverage, quality, and alignment with product ... best practices for AI experience evaluation as the field matures Preferred Qualifications ...
... contract requirements * Ability to obtain and maintain a U.S. government security clearance * Experience leading or significantly contributing to software, data, AI/ML, mission systems, or complex ...
Quick apply
... contract requirements * Ability to obtain and maintain a U.S. government security clearance * Experience leading or significantly contributing to software, data, AI/ML, mission systems, or complex ...
Build, iterate and execute a repeatable B2B SaaS, AI, and data solution selling motion, discovering ... contract negotiations, and deployment planning * Skill in identifying customer problems and ...
Build, iterate and execute a repeatable B2B SaaS, AI, and data solution selling motion, discovering ... contract negotiations, and deployment planning * Skill in identifying customer problems and ...
Private Funds Attorney - Remote
Thornton, CO · Remote
$90 - $130/hr
Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data ...
Private Funds Attorney - Remote
Thornton, CO · Remote
$90 - $130/hr
Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data ...
Private Funds Attorney - Remote
Pueblo, CO · Remote
$90 - $130/hr
Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data ...
Private Funds Attorney - Remote
Pueblo, CO · Remote
$90 - $130/hr
Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data ...
Private Funds Attorney - Remote
Boulder, CO · Remote
$90 - $130/hr
Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data ...
Private Funds Attorney - Remote
Boulder, CO · Remote
$90 - $130/hr
Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data ...
Private Funds Attorney - Remote
Colorado Springs, CO · Remote
$90 - $130/hr
Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data ...
Private Funds Attorney - Remote
Colorado Springs, CO · Remote
$90 - $130/hr
Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data ...
Private Funds Attorney - Remote
Westminster, CO · Remote
$90 - $130/hr
Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data ...
Private Funds Attorney - Remote
Westminster, CO · Remote
$90 - $130/hr
Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data ...
Contract Ai Data Annotation information
What are the key skills and qualifications needed to thrive as a Contract AI Data Annotation Specialist, and why are they important?
To thrive as a Contract AI Data Annotation Specialist, you need attention to detail, familiarity with data labeling concepts, and at least a high school diploma or relevant experience. Proficiency with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth, as well as basic understanding of data formats, is typically required. Strong communication, time management, and the ability to follow precise guidelines help you excel in this role. These skills ensure accurate, high-quality datasets that are critical for training effective AI and machine learning models.
What are some common challenges faced by contract AI data annotators, and how can they be addressed?
Contract AI data annotators often encounter challenges such as maintaining consistency across large datasets, understanding complex labeling guidelines, and meeting tight project deadlines. To address these, it's important to thoroughly review project documentation, participate in onboarding or training sessions, and communicate proactively with project managers or team leads when questions arise. Leveraging annotation tools efficiently and seeking feedback on your work can also help improve accuracy and productivity, making it easier to adapt to varying project requirements.
What is a Contract AI Data Annotation job?
A Contract AI Data Annotation job involves labeling or tagging data, such as images, text, audio, or video, to help train artificial intelligence (AI) and machine learning models. As a contractor, you'll work on specific projects for a set period, rather than as a full-time employee. The work is detail-oriented and may involve tasks like categorizing objects in photos, transcribing audio, or marking up text for sentiment or intent. This role is crucial in ensuring that AI systems learn accurately and perform well. Contract AI data annotators often work remotely and may be paid by the hour or per task.
What is the difference between Contract Ai Data Annotation vs Data Labeler?
| Aspect | Contract Ai Data Annotation | Data Labeler |
|---|---|---|
| Credentials | Basic computer skills, attention to detail | Basic computer skills, attention to detail |
| Work Environment | Remote or on-site, project-based | Remote or on-site, project-based |
| Industry Usage | AI, machine learning, tech companies | AI, machine learning, tech companies |
| Job Focus | Annotating data for AI training | Labeling data for AI models |
Contract Ai Data Annotation and Data Labeler roles are similar, both involve preparing data for AI systems. However, Contract Ai Data Annotation often encompasses a broader range of annotation tasks and may require familiarity with specific tools or platforms. Both roles are essential in AI development and are commonly found in tech industries, with similar work environments and credential requirements.
What are the most commonly searched types of Ai Data Annotation jobs in Colorado? The most popular types of Ai Data Annotation jobs in Colorado are:
What are popular job titles related to Contract Ai Data Annotation jobs in Colorado? For Contract Ai Data Annotation jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Contract Ai Data Annotation jobs in Colorado look for? The top searched job categories for Contract Ai Data Annotation jobs in Colorado are:
What cities in Colorado are hiring for Contract Ai Data Annotation jobs? Cities in Colorado with the most Contract Ai Data Annotation job openings:
Job description
Overview:
Job Title: Senior Data Scientist - Knowledge Domain: Product (Job ID: 2099)
Location: Work From Home - USA, Denver, Colorado 80237 - look for locals
Duration: July 15, 2025 - February 27, 2026
Company: Western Union
Hire Type: Contractor (Contract Only)
Standard Hours per Week: 40
JOB DESCRIPTION
Senior Data Scientist - Knowledge Domain: Product
We are seeking a technically advanced and product-oriented Senior Data Scientist to lead the development of machine learning and deep learning solutions that power intelligent decision-making and innovative products. This role is ideal for someone with extensive experience in building, evaluating, and deploying ML and neural network models in production environments. You'll collaborate cross-functionally to create and scale real-world AI applications that have direct impact on users and business performance.
Role Responsibilities:
Design, build, and evaluate machine learning and deep learning models for classification, regression, recommendation, NLP, computer vision, and time-series forecasting.
Apply deep learning techniques (e.g., CNNs, RNNs, LSTMs, Transformers) to solve complex, data-intensive problems.
Lead the development of ML products, from model prototyping through production deployment, performance monitoring, and continuous improvement.
Select appropriate architectures and hyperparameters, optimize model performance, and use proper evaluation metrics (e.g., AUC, F1, BLEU, IoU, perplexity) based on the use case.
Collaborate with product managers and engineers to translate business challenges into deployable solutions using AI/ML.
Design automated pipelines for data preprocessing, feature engineering, training, and inference (batch or real-time).
Evaluate model drift, monitor performance post-deployment, and implement retraining pipelines as part of a production MLOps system.
Mentor junior data scientists, contribute to code reviews, and lead technical discussions across the data science and engineering teams.
Role Requirements:
Bachelor's degree in Computer Science, Statistics, Applied Math, or related field (Master's or PhD strongly preferred).
5+ years of industry experience in applied machine learning, with 2+ years focused on deep learning and neural network applications.
Experience in Banking, Payments or Financial Services formulating AI data solutions that allow us to leverage our data to know our customers better and target our resources for better market penetration and focused attention and education.
Proficiency in Python and ML libraries such as scikit-learn, XGBoost, TensorFlow, Keras, or PyTorch.
Deep understanding of neural networks, model regularization, overfitting/underfitting prevention, and GPU-accelerated training.
Experience with customer data enrichments.
Proven track record of building, evaluating, and deploying machine learning models at scale in production environments.
Experience with cloud platforms (AWS/GCP/Azure), containerization, and model serving technologies.
Excellent communication skills, with the ability to present complex findings to both technical and non-technical stakeholders.
Hands-on experience with real-world applications of deep learning, such as recommendation engines, fraud detection, customer segmentation, document summarization, image recognition, or speech processing.
Familiarity with MLOps tools (e.g., MLflow, SageMaker, Airflow, Kubeflow).
Experience with CI/CD for ML, feature stores, and real-time inference systems.
Contributions to academic research, open-source ML projects, or ML/AI patents.
Skills:
Knowledge Domain
Job Title: Senior Data Scientist - Knowledge Domain: Product (Job ID: 2099)
Location: Work From Home - USA, Denver, Colorado 80237 - look for locals
Duration: July 15, 2025 - February 27, 2026
Company: Western Union
Hire Type: Contractor (Contract Only)
Standard Hours per Week: 40
JOB DESCRIPTION
Senior Data Scientist - Knowledge Domain: Product
We are seeking a technically advanced and product-oriented Senior Data Scientist to lead the development of machine learning and deep learning solutions that power intelligent decision-making and innovative products. This role is ideal for someone with extensive experience in building, evaluating, and deploying ML and neural network models in production environments. You'll collaborate cross-functionally to create and scale real-world AI applications that have direct impact on users and business performance.
Role Responsibilities:
Design, build, and evaluate machine learning and deep learning models for classification, regression, recommendation, NLP, computer vision, and time-series forecasting.
Apply deep learning techniques (e.g., CNNs, RNNs, LSTMs, Transformers) to solve complex, data-intensive problems.
Lead the development of ML products, from model prototyping through production deployment, performance monitoring, and continuous improvement.
Select appropriate architectures and hyperparameters, optimize model performance, and use proper evaluation metrics (e.g., AUC, F1, BLEU, IoU, perplexity) based on the use case.
Collaborate with product managers and engineers to translate business challenges into deployable solutions using AI/ML.
Design automated pipelines for data preprocessing, feature engineering, training, and inference (batch or real-time).
Evaluate model drift, monitor performance post-deployment, and implement retraining pipelines as part of a production MLOps system.
Mentor junior data scientists, contribute to code reviews, and lead technical discussions across the data science and engineering teams.
Role Requirements:
Bachelor's degree in Computer Science, Statistics, Applied Math, or related field (Master's or PhD strongly preferred).
5+ years of industry experience in applied machine learning, with 2+ years focused on deep learning and neural network applications.
Experience in Banking, Payments or Financial Services formulating AI data solutions that allow us to leverage our data to know our customers better and target our resources for better market penetration and focused attention and education.
Proficiency in Python and ML libraries such as scikit-learn, XGBoost, TensorFlow, Keras, or PyTorch.
Deep understanding of neural networks, model regularization, overfitting/underfitting prevention, and GPU-accelerated training.
Experience with customer data enrichments.
Proven track record of building, evaluating, and deploying machine learning models at scale in production environments.
Experience with cloud platforms (AWS/GCP/Azure), containerization, and model serving technologies.
Excellent communication skills, with the ability to present complex findings to both technical and non-technical stakeholders.
Hands-on experience with real-world applications of deep learning, such as recommendation engines, fraud detection, customer segmentation, document summarization, image recognition, or speech processing.
Familiarity with MLOps tools (e.g., MLflow, SageMaker, Airflow, Kubeflow).
Experience with CI/CD for ML, feature stores, and real-time inference systems.
Contributions to academic research, open-source ML projects, or ML/AI patents.
Skills:
Knowledge Domain