Outlier helps the worlds most innovative companies improve their AI models by providing human feedback. Are you an experienced software engineer who would like to lend your coding expertise to train AI models?We partner with organizations to train AI large language models, helping cutting-edge generative AI models write better code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. There is no requirement for previous AI experience.About the opportunity:<ul><li>Outlier is looking for talented coders to help train generative artificial intelligence models</li><li>This freelance opportunity is remote and hours are flexible, so you can work whenever is best for you</li></ul>You may contribute your expertise by<ul><li>Crafting and answering questions related to computer science in order to help train AI models</li><li>Evaluating and ranking code generated by AI models</li></ul>Examples of desirable expertise:<ul><li>Currently enrolled in or completed a bachelor's degree or higher in computer science at a selective institution</li><li>Proficiency working with one or more of the the following languages: Java, Python, JavaScript / TypeScript, C++</li><li>Ability to articulate complex concepts fluently in English</li><li>Excellent attention to detail, including grammar, punctuation, and style guidelines</li></ul>Payment:<ul><li>Currently, pay rates for core project work by Tier 2 coding experts in the U.S. average USD $30 per hour.</li><li>Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.</li></ul><div class="content-conclusion">PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with the <a class="c-link c-link--underline" href="https://outlier.ai/legal/privacy-policy" target="_blank" data-stringify-link="https://outlier.ai/legal/privacy-policy" data-sk="tooltip_parent">Outlier Privacy Policy</a> and our internal policies and programs designed to protect personal data.This is a 1099 contract opportunity on the <a class="c-link c-link--underline" href="http://outlier.ai/" target="_blank" data-stringify-link="http://Outlier.ai" data-sk="tooltip_parent">Outlier.ai</a> platform. Because this is a freelance opportunity, we do not offer internships, sponsorship, or employment. You must be authorized to work in your country of residence. If you are an international student, you may be able to sign up for Outlier if you are on a visa. You should contact your tax and/or immigration advisor with specific questions regarding your circumstances.</div>

We are seeking a Senior Data Engineer to join our data science group at Grey Matters Defense Solutions. The ideal candidate will work closely with data scientists and machine learning engineers to build and maintain scalable, efficient data pipelines, manage metadata storage, and deploy machine learning models. You will integrate multiple data sources, handle data format conversions, manage tagging tools, and ensure the smooth operation of machine learning workflows. This includes setting up scalable, automated pipelines for data ingestion, preprocessing, and annotation, as well as implementing robust systems for model versioning, deployment, and monitoring. Primary Responsibilities: <ul><li>Data Pipeline Development: Build and maintain data pipelines that handle the ingestion, conversion, and processing of raw data into formats suitable for machine learning models.</li></ul><ul><li>Metadata and Tagging Management: Implement tagging and annotation tools to enhance data used for model training, ensuring efficient metadata storage and retrieval.</li></ul><ul><li>Database Management: Design and maintain databases for storing structured/unstructured data, including tags and metadata.</li></ul><ul><li>Preprocessing & Automation: Automate the preprocessing of data (e.g., cleaning, normalization, augmentation) to prepare it for neural network models.</li></ul><ul><li>MLops Integration: Work with machine learning engineers to implement end-to-end machine learning workflows, integrating data pipelines with model training, deployment, and monitoring processes.</li></ul><ul><li>Model Deployment and Monitoring: Set up and manage infrastructure for deploying machine learning models, including maintaining inference servers and continuous integration pipelines.</li></ul><ul><li>Model Versioning: Implement model version control and management systems to track experiments and ensure smooth transitions between model iterations.</li></ul> Qualifications: <ul><li>Eight (8) years experience in a Data Engineer role</li><li>Active TS (Top Secret) clearance. </li><li>Experience with machine learning workflows, including data pipelines and model deployment.</li></ul><ul><li>Familiarity with working with unstructured and structured data, converting them for use in machine learning models.</li></ul><ul><li>Strong understanding of MLops practices, including model versioning, monitoring, and CI/CD for machine learning models.</li></ul><ul><li>Experience in scaling infrastructure to handle large datasets and multiple models in production.</li></ul> Skills: <ul><li>MLops Tools: Experience with MLops tools and platforms like Kubeflow, MLflow, or Seldon, including model tracking, deployment, and monitoring systems.</li></ul><ul><li>Data Engineering Tools: Airflow, Bash, Docker, Docker Compose, GDAL, Git, Linux, make, MongoDB.</li></ul><ul><li>NVIDIA Ecosystem: Expertise in NVIDIA installations (CUDA, cuDNN, Drivers, NVIDIA CONTAINER TOOLKIT).</li></ul><ul><li>Python: Expertise in Python (Dask, Faker, Jupyter, NumPy, pandas, pydantic, pymongo, pytest).</li></ul><ul><li>Data Conversion and Processing: Experience with data conversion libraries such as Rasterio and RAY.</li></ul><ul><li>Web & API Development: Experience with Traefik and hosting tools.</li></ul><ul><li>Database Management: Strong experience with managing metadata and tagging in databases like MongoDB, with scalable storage solutions. Salary Range: $150,000 - $195,000 + 25% SEP Grey Matters Defense Solutions offer a comprehensive benefits package including medical, dental, vision, life insurance, short-term and long-term disability. Additional Benefits:</li><li>SEP IRA 25% of base salary</li><li>PTO Six weeks</li><li>IBA 12.5%</li><li>Employee assistance program</li><li>Employee discount</li><li>Flexible spending account</li><li>Health savings account</li><li>Referral program Grey Matters Defense Solutions' most valuable assets are the more than 50 employees, consisting of data scientists, custom software developers, and analysts/subject matter experts, with senior-level personnel formerly from DIA, NRO, NSA and the US Armed Forces. Our employees have a depth of analytical knowledge which provides them with deep understanding of managing and delivering products within government systems. Grey Matters Defense Solutions provides transformational leadership building aware-winning teams and products.</li><li>Join our team of exceptional developers, architects and data scientists! Visit us at www.greymattersdefense.com https://www.linkedin.com/company/grey-matters-defense-solutions/ "Know Your Rights: Workplace Discrimination is Illegal" Questions contact: [email protected]</li></ul>

<h2>About Lumen</h2>Lumen connects the world. We are igniting business growth by connecting people, data and applications – quickly, securely, and effortlessly. Together, we are building a culture and company from the people up – committed to teamwork, trust and transparency. People power progress.Lumen’s commitment to workplace inclusion and employee support shines bright. We’ve made the Newsweek 2024 Greatest Workplaces for Diversity list and achieved a perfect score of 100 on the Human Rights Campaign Corporate Equality Index (CEI) for the fifth consecutive year. Plus, we’re the top employer in the communications and telecom industry, ranking 12th overall across all industries in The American Opportunity Index.We’re looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future.<h2>The Role</h2>If you're a student eager to explore the exciting world of digital innovation, Lumen is the perfect place for you. Lumen offers a fully immersive, 10-week summer internship program. Our interns demonstrate curiosity, innovation, and a passion for advancing technology. We believe that empowering our people and helping them reach their full potential is essential for the long-term success of both Lumen and our customers.Program dates: May 30 – August 8, 2025.<h2>The Main Responsibilities</h2>Lumen’s Mass Markets organization is looking for a Data Engineer intern on our Applications Engineering team. The intern will be responsible for building machine learning models, developing data pipelines and creating innovating AI applications.Other responsibilities of intern will include:<ul><li>Supporting digital channel for mass markets customers </li><li>Research AI solutions to reduce cost and improve customer experience </li><li>Manage data pipelines</li></ul><h2>What We Look For in a Candidate</h2>Program eligibility is contingent on the candidate’s commitment of the entire 10-week program. No exceptions will be made.Required qualifications<ul><li>Enrolled at a 4-year accredited college or university, rising senior or graduate level education status at the start of the internship </li><li>Graduating August 2025 – May 2027 </li><li>Preferred fields include burt not limited to: – Computer Science, Business Analytics, Data Science, Information Systems. </li><li>Intern must be able to work 40 hours per week during the 10-week program (May 30 – August 8, 2025) </li><li>Proficiency and understanding of: </li><li>MS Office Suite – Excel and PowerPoint </li><li>Python expertise </li><li>Machine Learning frameworks ( TensorFlow, PyTorch, scikit-learn) models </li><li>Python libraries ( NumPy, Pandas, Matplotlib, Seaborn etc…) </li><li>Cloud platforms like GCP </li><li>React.Js </li><li>Node.Js </li></ul>Preferred qualifications<ul><li>Analytical Skills: Ability to analyze and interpret data to provide actionable insights </li><li>Experience with statistical analysis and data visualization tools is a plus. </li><li>Attention to detail and a proactive approach to learning and development. </li><li>Ability to translate technical information into non-technical terms </li><li>Strong problem-solving abilities to identify and resolve issues related to data accuracy, report performance, and user requirements </li><li>Eagerness to learn and adapt to new technologies and methodologies. </li><li>Strong organization skills </li><li>Ability to multitask while working in fast paced environment </li></ul><h2>Compensation</h2>Internship compensation ranges depend on each individual’s level of education, geographic location, and experience/qualifications aligned to the role.Hourly Based Pay Range: 
Min: $26.00/hour 
Max: $43.00/hour<h2>What to Expect Next</h2>After completion and submission of your application, you will be asked to participate in a virtual video interview. This on demand interview will be a way for Lumen to learn more about you and your experience as it aligns to the internship position. A separate email invitation will be sent to you (check your spam) within 6 hours of application. For continued consideration in the summer internship program, please ensure you complete the video interview within 5 business days of application.Application & Interview Timeline:<ul><li>October – First Round Interviews with top, qualified candidates</li><li>November - Interview panel with work team</li><li>December - All Summer 2025 offers will be extended by end of month</li></ul>Requisition #: 335207Background ScreeningIf you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our <a href="https://jobs.lumen.com/global/en/faq">FAQ page</a>. Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis. 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Equal Employment OpportunitiesWe are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, “protected statuses”). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.DisclaimerThe job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.<h4>Salary Range</h4>Salary Min:26Salary Max:43This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.This position is eligible for either short-term incentives or sales compensation. Director and VP positions also are eligible for long-term incentive. To learn more about our bonus structure, you can view additional information <a href="https://jobs.lumen.com/global/en/compensation-information">here.</a> We're able to answer any additional questions you may have as you move through the selection process.As part of our comprehensive benefits package, Lumen offers a broad range of Health, Life, Voluntary Lifestyle and other benefits and perks that enhance your physical, mental, emotional and financial wellbeing. You can learn more by clicking <a href="https://centurylinkbenefits.com">here.</a>Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.Note: For union-represented postings, wage rates and ranges are governed by applicable collective bargaining agreement provisions.Application Deadline 
10/31/2024

ARKA Group L.P. is an advanced technologies company serving the U.S. military, intelligence community, and commercial space industry delivering next-generation solutions to support the national security space domain. ARKA has a 60-year legacy reaching back to the very beginning of our country's space endeavors. We're a legacy of mission excellence built on ground-breaking technologies. Join the ARKA mission and discover your next career opportunity now! Position Overview (Summary/Objective): This position, in either Aurora, CO or Valley Forge, PA, is for a Data Engineer looking for new challenging problems. You will support the development of AI/ML algorithms in a multitude of disciplines from large language models, natural language processing, reinforcement learning, and time-series predictive analytics.. Additionally, we have a team of excellent researchers and software developers who are eager to mentor and teach their craft.We have multiple positions available and welcome all experience levels! Responsibilities: <ul><li>Assembles large, complex sets of data to support AI/ML algorithm implementation</li><li>Identifies, designs, and implements internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes</li><li>Builds required infrastructure for optimal extraction, transformation and loading of data from various data sources</li><li>Curate and maintain data that is stored in support of metrics and evaluation</li><li>Design, build, test, maintain, and automate data collection/pipelines</li><li>Develop Dashboards for Data Analytics.</li><li>Implement Artificial Intelligence/Machine Learning</li><li>Using Agile methodologies to develop software.</li></ul> Basic Qualifications: <ul><li>Current Top Secret SCI clearance with CI poly</li><li>B.S. in Data Science, AI/ML, Computer Science, or related field</li><li>Minimum six (6) years of relevant experience as a Data Engineer/Scientist.</li><li>Experience developing data pipelines and normalizing data, using AWS cloud services</li></ul> Preferred Qualifications: <ul><li>Full scope poly</li><li>M.S. or PhD in Data Science, AI/ML, Computer Science, or related field</li><li>Experience with Gitlab, DevSecOps utilizing test-driven development, Containers (Docker, Docker Compose)</li></ul> Pay Range: $130,000 - $190,000 Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. The application window will close in 40 days for this position. Location: This position is based out of ARKA's nature abundant Aurora, CO campus. Being situated at the foot of the Rocky Mountains, Aurora provides opportunities to enjoy all the beautiful nature that Colorado has to offer, while also being a 20-minute drive from downtown Denver and 15-minutes to the Denver International Airport. What We Offer: <ul><li>Comprehensive medical/vision/dental insurance packages</li><li>Company contributions to qualified HSA accounts</li><li>401k retirement plan with industry leading company contributions</li><li>3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events</li><li>13 paid holidays</li><li>Continuing education benefit up to $25k/year for approved programs</li><li>Annual bonus program based on company and employee performance</li><li>Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance</li><li>4 weeks paid Parental Leave</li><li>Employee assistance program (EAP)</li></ul> EHS/Environmental Requirements: While performing the duties of this job, the employee is required to communicate, listen to, and interpret instructions, occasionally operate tools and/or machinery with hands and arms and remain stationary for extended periods of the time. The employee will use protective equipment when working with chemicals, move between workstations, reach, and replace equipment, and move items weighing up to 40 lbs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

Data Engineer Jobs in Aurora, CO

Data Engineer
November 13, 2024

Big Data Engineer For Ai Training
November 12, 2024

Big Data Engineer For Ai Training
November 11, 2024

Senior Data Engineer
November 10, 2024

Intern Data Engineer Summer 2025
October 30, 2024

Data Engineer Tssci S
October 25, 2024

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Data Engineer Jobs in Aurora, CO

Data EngineerNovember 13, 2024

Big Data Engineer For Ai TrainingNovember 12, 2024

Big Data Engineer For Ai TrainingNovember 11, 2024

Senior Data EngineerNovember 10, 2024

Intern Data Engineer Summer 2025October 30, 2024

Data Engineer Tssci SOctober 25, 2024