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Remote Monitoring Evaluation Learning Jobs in Colorado

Signifyd

Senior Machine Learning Engineer I // II

Denver, CO · On-site +1

$107K - $147K/yr

This team is responsible for building, maintaining, and monitoring the production ML models and ... Strong foundation in machine learning theory, statistical evaluation, and experience with ...

TIFIN

Staff AI Engineer

Boulder, CO · On-site +1

$200K - $275K/yr

... learning, agent harness, agent memory * Deep proficiency in Python and modern AI frameworks ... Experience implementing monitoring, evaluation, and reliability safeguards for AI systems * Strong ...

DevIQ

Senior AI/Machine Learning Engineer

Denver, CO · On-site +1

$126K - $166K/yr

CI/CD for models, experiment tracking, model and drift monitoring, and responsible-AI practices ... Rigorous evaluation discipline: sound train/val/test methodology, avoiding data leakage, choosing ...

DevIQ

Senior AI/Machine Learning Engineer

Denver, CO · On-site +1

$126K - $166K/yr

... evaluating models, and iterating based on rigorous error analysis -- through to production ... CI/CD for models, experiment tracking, model and drift monitoring, and responsible-AI practices

DevIQ

Senior AI/Machine Learning Engineer

Denver, CO · On-site +1

$126K - $166K/yr

CI/CD for models, experiment tracking, model and drift monitoring, and responsible-AI practices ... Rigorous evaluation discipline: sound train/val/test methodology, avoiding data leakage, choosing ...

Cleerly

Sr. Machine Learning Software Engineer

Denver, CO · On-site +1

$126K - $166K/yr

While we are mostly a remote company, travel is required for some team meetings and cross function ... → evaluation → deployment → monitoring. * Integrate CI/CD and MLOps practices for automated ...

Ibotta

Principal Machine Learning Engineer

Denver, CO · On-site +1

$228K - $253K/yr

Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA ... Deep hands-on experience prototyping, building, releasing, and monitoring mission-critical machine ...

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Remote Monitoring Evaluation Learning information

Are evaluators in high demand?

Evaluators in remote monitoring, evaluation, and learning roles are increasingly in demand due to the growth of international development, non-profit, and health sectors that rely on data-driven decision-making. These positions often require skills in data analysis, reporting, and familiarity with monitoring tools, making qualified evaluators valuable in the job market.

How to get into monitoring and evaluation?

To enter monitoring and evaluation (M&E), gaining a degree in social sciences, public health, or related fields is common. Developing skills in data collection, analysis, and reporting, along with proficiency in tools like Excel or statistical software, is essential. Internships or entry-level positions in development organizations or NGOs can provide practical experience to build a career in M&E.

Is M&E a good career?

Monitoring and Evaluation (M&E) is a valuable career in sectors like international development, healthcare, and NGOs, focusing on assessing program effectiveness and outcomes. It often requires skills in data analysis, reporting, and familiarity with tools like Excel or statistical software, with opportunities for professional growth and specialization.

What is the difference between Remote Monitoring Evaluation Learning vs Remote Data Analyst?

AspectRemote Monitoring Evaluation LearningRemote Data Analyst
Primary FocusMonitoring, evaluating, and learning from programs or projects to improve outcomesAnalyzing data sets to identify trends, generate reports, and support decision-making
Required SkillsMonitoring tools, evaluation methodologies, learning frameworks, data collectionStatistical analysis, data visualization, database management, programming skills
Work EnvironmentFieldwork, program sites, remote collaboration with teamsOffice or remote, primarily computer-based work
Common CertificationsMonitoring and Evaluation (M&E) certifications, learning frameworksData analysis certifications, statistical software training

Remote Monitoring Evaluation Learning professionals focus on assessing program performance and fostering continuous improvement through evaluation and learning. In contrast, Remote Data Analysts primarily analyze data to support strategic decisions. While both roles require data skills, M&E emphasizes evaluation methodologies and learning frameworks, whereas Data Analysts focus on statistical analysis and data management.

What are the typical challenges faced when working in a remote Monitoring, Evaluation, and Learning (MEL) role, and how can they be addressed?

Professionals in remote MEL roles often encounter challenges such as coordinating across time zones, ensuring effective communication with project teams, and accessing reliable data from field locations. To address these, it's important to establish regular virtual check-ins, utilize collaborative digital tools, and build strong relationships with local partners who can facilitate data collection and validation. Proactively setting clear expectations and documentation practices also helps maintain the quality and timeliness of MEL deliverables.

What are the key skills and qualifications needed to thrive as a Remote Monitoring, Evaluation, and Learning (MEL) Specialist, and why are they important?

To thrive as a Remote Monitoring, Evaluation, and Learning (MEL) Specialist, you need a solid background in data analysis, project management, and research methodologies, often supported by a degree in social sciences or a related field. Familiarity with statistical software (such as SPSS or Stata), data visualization tools, and digital survey platforms is typically required, along with knowledge of MEL frameworks. Strong communication, problem-solving, and adaptability are essential soft skills to effectively collaborate with remote teams and stakeholders. These skills ensure accurate program assessment, informed decision-making, and continuous improvement of projects, even when working from a distance.

What do remote evaluators do?

Remote evaluators assess the effectiveness and impact of programs or projects from a distance, often analyzing data, preparing reports, and providing feedback to improve outcomes. They typically use online tools, data analysis software, and communication platforms to perform their tasks efficiently. Strong analytical skills and experience with monitoring and evaluation methods are essential for this role.

What is Remote Monitoring, Evaluation, and Learning (MEL)?

Remote Monitoring, Evaluation, and Learning (MEL) refers to the practice of overseeing and assessing projects or programs from a distance, often using digital tools and technology. This approach allows organizations to collect data, track progress, and analyze outcomes without being physically present on-site. Remote MEL is especially useful for projects in hard-to-reach or high-risk areas, enabling timely decision-making and adaptive management. It involves methods such as online surveys, mobile data collection, and remote interviews to ensure effective project monitoring and learning.
What are the most commonly searched types of Monitoring Evaluation Learning jobs in Colorado? The most popular types of Monitoring Evaluation Learning jobs in Colorado are:
What are popular job titles related to Remote Monitoring Evaluation Learning jobs in Colorado? For Remote Monitoring Evaluation Learning jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Monitoring Evaluation Learning jobs in Colorado look for? The top searched job categories for Remote Monitoring Evaluation Learning jobs in Colorado are:
What cities in Colorado are hiring for Remote Monitoring Evaluation Learning jobs? Cities in Colorado with the most Remote Monitoring Evaluation Learning job openings:
Remote Monitoring Evaluation Learning jobs near you

Remote Contract Consultant - We Are Always Looking For New Talent!

ResultsLab

Denver, CO • On-site, Remote

Full-time

Posted 28 days ago

Job description

This is an ongoing open consulting application as we are always looking for new talent to join our ResultsLab team of contract consultants! If you are interested, please submit a one-page cover letter describing how your experience has prepared you for working with ResultsLab and a resume. Materials are reviewed periodically.
Contract Staff may engage in the following tasks and activities...
  • Lead and/or support the development, implementation, and evolution/refinement of client-facing projects.
  • Lead and/or support the development and documentation of measurement strategies and plans, including the identification of indicators and data collection tools.
  • Lead and/or support evaluation design, including development of learning questions and overall methodology to answer these questions.
  • Conduct landscape assessment and literature reviews to inform development of project/study plans, and key design and measurement products.
  • Conduct qualitative and/or quantitative data analyses.
  • Design and develop a variety of compelling data products and visualizations to communicate findings. For example, dashboards, infographics, memos, and reports.
  • Craft high-quality written deliverables (e.g., toolkits, playbooks, summary decks) to support program design, program implementation, performance measurement, and evaluation.
  • Provide facilitation, coordination, preparation, and documentation support of coaching sessions with organizations and communities.
  • Support and/or lead coaching sessions for clients - both individual contributors and teams - to help build their data and evaluation capacity.

What will make you successful...
  • A bachelor's and/or master's degree in a related field and at least 4 years direct experience in evaluation and/or performance measurement, specifically with data collection, capacity building, data management, data analysis, and data visualization or communication.
  • Strong analytical, data visualization, and interpretation skills.
  • Advanced practical knowledge of Microsoft Excel
  • Working knowledge of qualitative analysis tools (e.g., NVivo, Atlas.ti, Dedoose)
  • Working knowledge of data reporting and visualization tools (e.g., Power BI, Tableau)
  • Working knowledge of data management systems (e.g., Salesforce, ETO, Apricot, mySQL)
  • Experience working in a nonprofit, foundation, or government agency.
  • Ability to work independently and collaboratively, managing various tasks and activities across multiple projects.
  • Experience designing and implementing evaluation/measurement and learning plans.
  • Experience in project management, data collection and analysis.
  • Demonstrated ability to center evaluation, learning, and social impact strategy work in principles of equity
  • Ability to bring to life evaluation concepts or insights to inspire action and/or learning.
  • Ability to earn the trust of others and develop relationships with team members, clients, and partners.
  • A strong desire to contribute to a collaborative team atmosphere, dive in where needed, and learn new skills as needed to support excellent service to our clients.
  • Critical thinker with proven ability to identify issues, innovate solutions, and continuously improve practice.
  • Comfort in a dynamic, fast-paced environment with the ability to adapt and demonstrate flexibility.
  • Ability to be available during core business as needed to engage with clients or Resultslab team members.

We are a distributed remote team, so the ability to maintain a strong internet connection and experience with online project management and communication platforms and systems such as Microsoft Teams, SharePoint, Google Suite, Productive, Monday, Slack, and/or Zoom are required.

Apply