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Home Based Data Annotation Jobs in Colorado (NOW HIRING)

Danone North America additionally offers a performance-based bonus and has a strong benefits ... While you may have the option to work from home on a schedule as agreed to with your supervisor ...

Danone North America additionally offers a performance-based bonus and has a strong benefits ... While you may have the option to work from home on a schedule as agreed to with your supervisor ...

Danone North America additionally offers a performance-based bonus and has a strong benefits ... While you may have the option to work from home on a schedule as agreed to with your supervisor ...

Danone North America additionally offers a performance-based bonus and has a strong benefits ... While you may have the option to work from home on a schedule as agreed to with your supervisor ...

Tech Lead, Data Engineer

Denver, CO · On-site

$140K - $180K/yr

... at home here. Where You'll Work This is a hybrid role based in Denver, Colorado with the ... Why this Role Matters We're looking for a Tech Lead, Data Engineer to help design, build, and ...

Tech Lead, Data Engineer

Denver, CO · On-site

$140K - $180K/yr

... at home here. Where You'll Work This is a hybrid role based in Denver, Colorado with the ... Why this Role Matters We're looking for a Tech Lead, Data Engineer to help design, build, and ...

Showing results 21-40

Home Based Data Annotation information

What is the difference between Home Based Data Annotation vs Data Labeler?

AspectHome Based Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailSimilar; no formal certifications typically required
Work EnvironmentRemote, home-basedRemote or in-office, depending on employer
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job TasksAnnotating data for training AI modelsLabeling data for AI training

Both roles involve labeling data for AI systems, often working remotely. Home Based Data Annotation emphasizes working from home with flexible hours, while Data Labeler may work in various environments. Both positions are essential in AI development and share similar skills and industry usage.

Can you do data annotation from home?

Home-based data annotation jobs are common and typically involve labeling data such as images, text, or audio using specialized tools. These roles often require a reliable internet connection, attention to detail, and sometimes specific training or guidelines, making remote work feasible for qualified candidates.

How much do home based data annotation jobs pay?

Home-based data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the tasks and the employer. Some positions may offer per-task payments or project-based rates, with experienced annotators earning higher wages. These jobs often require attention to detail and familiarity with annotation tools or platforms.

What are the most commonly searched types of Data Annotation jobs in Colorado?

The most popular types of Data Annotation jobs in Colorado are:

What are popular job titles related to Home Based Data Annotation jobs in Colorado?

For Home Based Data Annotation jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Home Based Data Annotation jobs in Colorado look for?

The top searched job categories for Home Based Data Annotation jobs in Colorado are:

What cities in Colorado are hiring for Home Based Data Annotation jobs?

Cities in Colorado with the most Home Based Data Annotation job openings:

Senior Manager, Data Architect

Danone North America

Louisville, CO • Hybrid

$105K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 12 days ago


Danone North America rating

8.1

Company rating: 8.1 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

77th of 438 rated food and drinks producers


Job description

The Senior BI Data Architect Manager acts as a subject matter expert in designing analytical approaches and leads the data-analytics teams in research, development, and implementation of appropriate data systems that lead to improved business performance and achievement of overall business goals.  You will be responsible for developing and maintaining key critical data infrastructure encompassing SAP and other outside data sources into an active data eco system.  This function will be supporting business data needs for tactical and strategic business initiatives and root cause analysis.  Job Responsibilities:  Engage with functional leaders to design, develop, and maintain dashboards supporting key KPIs and metrics and anticipate needs. Lead data architecture development to support evolving business data needs. Be the data partner to cross functional teams: Transportation, Warehousing, Planning, Operations, etc. work closely with IT for requirements, definitions and infrastructure development.  Ingesting and transforming data from multiple sources, applying data quality checks, standardizing schemas, and integrating datasets at the appropriate grain to support accurate analytics and reporting Enforce data integrity and discipline in data policy and structure, one source of truth with one voice with wholistic and sync-ed data strategy Translate data into actionable insights, strategies, and root cause analysis Develop, maintain and enforce various taxonomies, hierarchies and structures Develop root cause reporting and tooling to engage the business and help deliver options while measuring the impact of those options.  Seek to continuously raise the bar with data and impact.   The salary range for this position is $105,000.00 -$140,000.00 USD. The exact salary offered will depend on several factors, including the candidate’s relevant experience, geographic location, internal equity, and market conditions.  Danone North America additionally offers a performance-based bonus and has a strong benefits package including Medical, Dental, Vision, Prescription Drug Coverage, 401k Plan, Wellness Program, Life Insurance, Tuition Reimbursement, Flexible Time Off, and Paid Parental Bonding Leave, among other benefit plan options. To give our employees flexibility, Danone is a hybrid work environment.This role is considered a “hybrid” position that allows for flexible work, meaning it is a role where collaboration with key stakeholders in Danone Hubs occurs. While you may have the option to work from home on a schedule as agreed to with your supervisor, you are also expected to regularly report to your assigned office location at least 3 days per week.Experience and Education Requirement: Master's degree in Supply Chain, Business Intelligence, Information Systems, Analytics, Computer Science, or related field with 8+ years of relevant experience.  Business Acumen is crucial. Excellent communication, stakeholder management, and consulting skills, with the ability to translate business needs into technical solutions and technical concepts into business value. 8+ years of SQL development experience across SQL Server, Oracle, Snowflake, or similar platforms. Proven track record on building data infrastructure, blending data, time series, datasets and tables for consumption.   Knowledge, Skills and Abilities: Experience designing and building enterprise data warehouses, data lakes, and analytical data models for business consumption. Proven experience integrating, blending, and harmonizing SAP and external data sources into scalable data solutions. Experience with Databricks, Delta Lake, Python, and cloud-based data platforms preferred. Experience with Business Intelligence and visualization tools, including Power BI and Tableau. Strong knowledge of data architecture, data governance, master data management, hierarchies, taxonomies, and data quality frameworks. Proven ability to design flexible and scalable data structures that support evolving business requirements. Strong experience working with large datasets, data transformation, automation, and performance optimization. Demonstrated ability to influence cross-functional teams, establish standards, and drive adoption of enterprise data solutions. Life at DanoneWith approximately 5,000 employees and 13 production locations across the U.S., our vibrant culture and endless growth opportunities are just a couple of the reasons our employees call themselves “Proud Danoners.” Learn more about Life at DanoneOur BrandsWhen you join us, you’ll work with some of the best-known food and beverage brands in the world, including Activia®, DanActive®, Danimals®, Dannon®, evian®, Follow Your Heart®, Happy Family® Organics, International Delight®, Light + Fit®, Nutricia ®, Oikos®, Silk®, So Delicious® Dairy Free, ST K® Cold Brew Coffee ®, Too Good & Co™, and YoCrunch®.Our PurposeWe’re committed to making a positive impact on our world. Rooted in our mission to bring health through food to as many people as possible, we’re proud to be the world’s largest B Corp.Learn more about our mission.Our BenefitsOur commitment to making the world healthier starts with our employees. Physical Wellbeing: We pay for the majority of your medical benefits – which include medical, dental and vision – with our competitive 80%/20% cost-sharing model.Mental Wellbeing: Danoners receive fitness discounts, unlimited flexible time off and hybrid work schedules. We also have a range of programs that support mental health and substance abuse.  Financial Support: We offer a performance-based bonus, a 401(k) plan, tuition reimbursement, employee discount programs and voluntary perks.Family Care: We offer caretaker benefits, 18 weeks of parental bonding, fertility, surrogacy, adoption benefits and pet insurance.Learn more about our benefits.Equal Opportunity EmployerDanone North America is proud to be an Equal Opportunity employer. It is our policy to give equal employment opportunities to all qualified persons without regard to legally protected characteristics, or any other consideration made unlawful by applicable federal, state/provincial and/or local law. For our EEO policy statement and your EEO rights under law click here.#LI-NORAM#LI-ES2#LI-HybridCalifornia Data Privacy Law

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