Data visualization Jobs in Bend, OR
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Data visualization • bend or
Last updated: 1 day ago
This role is responsible for ensuring the reliability, accuracy, and safety of our Veeva AI Agents through rigorous evaluation and systematic validation methodologies.
We're looking for experienced ...Show moreLast updated: 22 days ago
We’re looking for Customer Support Product Testers across the US to work from home and help top brands improve their products before they hit the market.Show moreLast updated: 30+ days ago
Remote Work From Home Data Entry Clerk for Entry Level Position.Work at home position for job seekers from virtually any work background who are interested in part-time, side gigs, micro jobs, wo...Show moreLast updated: 4 days ago
We’re looking for Customer Support Product Testers across the US to work from home and help top brands improve their products before they hit the market.Show moreLast updated: 30+ days ago
We’re looking for Data Entry Specialists for Customer Products across the US to work from home and help top brands improve their products before they hit the market.Show moreLast updated: 30+ days ago
This job opportunity is available at ANY location in the United States.Ideally, selected candidates will be near a JACOBS U.
Our People & Places Solutions business reinforces our drive to improve pe...Show moreLast updated: 1 day ago
Mercor is seeking • •Climate Data Scientists • • for a premier project with one of the world's top AI labs.In this role, you will contribute your subject matter expertise to a cutting-edge project inv...Show moreLast updated: 16 days ago
Crunchbase helps over 75 million people around the world connect with the companies and people that matter.Powered by best-in-class proprietary data, Crunchbase is democratizing access to opportuni...Show moreLast updated: 30+ days ago
We are looking for a finance professional to join our team to train AI models.You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of ...Show moreLast updated: 1 day ago
As a Senior Data Scientist, you will work remotely on an hourly paid basis to review AI-generated analytical reasoning, code, and model outputs, as well as generate high-quality reference solutions...Show moreLast updated: 14 days ago
AI Data Engineer
Veeva SystemsBend, OregonFull-time
- Promoted
Data Entry Product Support - No Experience
GLOCPABend, OregonFull-time
Remote Data Collection Coordinator
FocusGroupPanelBend, Oregon, United StatesRemote
Full-time +1
Work From Home - Data Entry – Product Support – Entry Level
GLDeschutes River Woods, OregonRemote
Full-time
- Promoted
Work from Home Data Entry Clerk
GL Inc.Bend, OregonRemote
Full-time
Estimating Professional (Data Centers)
JacobsBend, OR, United StatesFull-time
Remote Climate Data Scientist - AI Trainer ($50-$60 per hour)
MercorBend, Oregon, USRemote
Full-time
Staff Data Scientist
CrunchbaseOregon, United StatesFull-time
Remote M&A Associate - AI Trainer ($50-$60 / hour)
Data AnnotationBend, OR, United StatesRemote
Full-time +1
Remote Senior Data Scientist - AI Trainer
SuperAnnotateBend, Oregon, USRemote
Full-time
- lead software engineer (from $ 175,931 to $ 246,400 year)
- principal software engineer (from $ 173,350 to $ 240,000 year)
- senior architect (from $ 136,835 to $ 239,000 year)
- solutions architect (from $ 137,500 to $ 235,575 year)
- associate dentist (from $ 31,000 to $ 229,000 year)
- software engineering manager (from $ 167,000 to $ 223,950 year)
- technical program manager (from $ 139,890 to $ 221,400 year)
- software architect (from $ 177,800 to $ 214,520 year)
- medical consultant (from $ 50,500 to $ 205,000 year)
- infrastructure project manager (from $ 87,000 to $ 200,000 year)
- Santa Clara, CA (from $ 98,000 to $ 200,000 year)
- Chicago, IL (from $ 99,238 to $ 192,500 year)
- Sunnyvale, CA (from $ 71,175 to $ 187,500 year)
- Seattle, WA (from $ 90,000 to $ 179,375 year)
- San Jose, CA (from $ 92,500 to $ 175,475 year)
- San Mateo, CA (from $ 92,500 to $ 175,350 year)
- San Francisco, CA (from $ 90,063 to $ 175,000 year)
- Phoenix, AZ (from $ 101,350 to $ 173,740 year)
- Daly City, CA (from $ 79,450 to $ 171,500 year)
- New York, NY (from $ 80,916 to $ 165,675 year)
The average salary range is between $ 82,499 and $ 153,216 year , with the average salary hovering around $ 105,000 year .
AI Data Engineer
Veeva SystemsBend, Oregon22 days ago
Job type
- Full-time
Job descriptionData Integrity & Validation : A strong, specialized understanding of data quality principles, including methods for validating datasets against bias, integrity concerns, and quality standards. Ability to craft diverse and adversarial test data to uncover AI edge cases Prompt Engineering & Model Expertise : Demonstrated skill in advanced prompt engineering techniques to create evaluation scenarios that test the AI's reasoning, action planning, and adherence to system instructions. Deep knowledge of LLM common failure modes (hallucination, incoherence, jailbreaking) Automated Evaluation Implementation : Proficiency in designing and deploying automated evaluation pipelines to assess complex, agentic AI behaviors. Familiarity with quality metrics such as task success rate, semantic similarity, and sentiment analysis for output measurement Debugging Agentic Systems : Must be comfortable with the specific challenges of debugging agentic systems, including tracing and interpreting an agent's internal reasoning, tool use, and action sequence to pinpoint failure points Programming & Frameworks : Proficiency in Python for developing custom evaluation frameworks, writing scripts, and integrating pipelines with CI / CD systems. Familiarity with standard test automation tools (e.g., Pytest, modern web automation tools) Bachelor's degree in Data Science, Machine Learning, Computer Science, or a related field, with experience in Gen AI / LLMs High work ethic. Veeva is a hard-working company High integrity and honesty. Veeva is a PBC and a “do the right thing” company. We expect that from all employees Applicants must have the unrestricted right to work in the United States or Canada. Veeva will not provide sponsorship at this time Medical, dental, vision, and basic life insurance Flexible PTO and company paid holidays Retirement programs 1% charitable giving program Base pay : $85,000 - $225,000 The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and / or stock bonus.
The Role
This role is responsible for ensuring the reliability, accuracy, and safety of our Veeva AI Agents through rigorous evaluation and systematic validation methodologies. We're looking for experienced candidates with :
1. A meticulous, critical, and curious mindset with a dedication to product quality in a rapidly evolving technological domain2. Exceptional analytical and systematic problem-solving capabilities3. Excellent ability to communicate technical findings to both engineering and product management audiences4. Ability to learn application areas quickly
Thrive in our Work Anywhere environment : We support your flexibility to work remotely or in the office within Canada or the US, ensuring seamless collaboration within your product team's time zone.Join us and be part of a mission-driven organization transforming the life sciences industry.
What You'll Do
- Evaluation Strategy & Planning : Define and establish comprehensive evaluation strategies for new AI Agents. Prioritize the integrity and coverage of test data sets to reflect real-world usage and potential failure modes
- LLM Output Integrity Assessment : Programmatically and manually evaluate the quality of LLM-generated content against predefined metrics (e.g., factual accuracy, contextual relevance, coherence, and safety standards)
- Creating High-Fidelity Datasets : Design, curate, and generate diverse, high-quality test data sets, including challenging prompts and scenarios. Evaluate LLM outputs to proactively identify system biases, unsafe content, hallucinations, and critical edge cases
- Automation of Evaluation Pipelines : Develop, implement, and maintain scalable automated evaluations to ensure efficient, continuous validation of agent behavior and prevent regressions with new features and model updates
- Root Cause Analysis : Understand model behaviors and assist in the trace and root-cause analysis of identified defects or performance degradations
- Reporting & Performance Metrics : Clearly document, track, and communicate performance metrics, validation results, and bug status to the broader development and product teams
Requirements
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Perks & Benefits
Compensation