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Data Annotation Tech Remote Jobs in Pasadena, CA

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Sr. Data Analyst

Los Angeles, CA · On-site +1

$92K - $116K/yr

... tech, management consulting, and sales. * Advance SQL skills required, experience with Python, R ... REMOTE #LI-JH4

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JLL

Director, Technology Product Management

Los Angeles, CA · Remote

$251K - $262K/yr

The technology surface spans IoT sensing, remote monitoring, data center facility management (DCFM) platforms, and robotics/automation. You will not be expected to build or manage these technologies ...

GDIT

AI Data Scientist

Los Angeles, CA · On-site +1

Data Science and Data Engineering Job Qualifications: Skills: AI Systems, Big Data, Datasets ... Technology Center in Bossier City, LA will follow a remote work model GDIT IS YOUR PLACE At GDIT ...

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All JobsData Annotation Tech JobsData Annotation Tech Remote JobsData Annotation Tech Remote Jobs in Pasadena, CA

Data Annotation Tech Remote information

See Pasadena, CA salary details

$13

$24

$38

How much do data annotation tech remote jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data annotation tech remote in Pasadena, CA is $24.92, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $29.62 per hour, depending on experience, location, and employer.

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

What is a data annotation tech remote?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

What are some common challenges faced by remote data annotation techs, and how can they be addressed?

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

How much do remote data annotation tech jobs pay?

Remote data annotation technician jobs typically pay between $12 and $20 per hour, depending on experience, skill level, and the complexity of the annotation tasks. Some positions may offer additional benefits or flexible schedules, and pay rates can vary based on the employer and geographic location of the company. Entry-level roles often start at the lower end of the pay scale, while experienced annotators or those with specialized skills may earn higher wages.

What are the key skills and qualifications needed to thrive as a data annotation tech remote?

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.
What are popular job titles related to Data Annotation Tech Remote jobs in Pasadena, CA? For Data Annotation Tech Remote jobs in Pasadena, CA, the most frequently searched job titles are:
What job categories do people searching Data Annotation Tech Remote jobs in Pasadena, CA look for? The top searched job categories for Data Annotation Tech Remote jobs in Pasadena, CA are:
What cities near Pasadena, CA are hiring for Data Annotation Tech Remote jobs? Cities near Pasadena, CA with the most Data Annotation Tech Remote job openings:
Data Annotation Tech Remote jobs near you
Infographic showing various Data Annotation Tech Remote job openings in Pasadena, CA as of August 2026, with employment types broken down into 80% Full Time, 10% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $51,827 per year, or $24.9 per hour.

Enterprise Data & AI Architect

Bay Cities Container

Pico Rivera, CA • On-site, Remote

Full-time

Re-posted 20 days ago

Job description

JOB TITLE: Enterprise Data & AI Architect
DEPARTMENT: Information Technology
REPORTS TO: CITO
FLSA STATUS: Exempt
Bay Cities, an Employee-Owned Company, is the leading creative packaging and display partner to brand marketers, retailers and e-commerce. Our passion, experience, technology, and consumer insights move product and drive sales.
Our Mission
Our Passion Powers Your Product
Our Values
Creativity: Our ideas create Client success.
Passion: We have heart with a Customer Service attitude.
Integrity: We honor our business & planet with sustainable practices.
Responsible: We own it!
Safe: Our safe work habits protect us all.
Fun: We take our work seriously- not ourselves
SUMMARY
Bay Cities Container has an exciting opportunity for an Enterprise Data & AI Architect for a remote based position. Bay Cities is located in Southern California (Greater Los Angeles area) and is seeking an Enterprise Data & AI Architect to either work remotely or on site. The ideal candidate will live anywhere in the United States but have the ability to travel to our corporate location as needed. Bay Cities is an Employee Owned (ESOP) corrugated packaging and display manufacturer. We design, manufacture, and deliver custom packaging, point-of-purchase displays, and fulfillment solutions for major national brands. We are in the middle of a CEO sponsored digital transformation- building an enterprise intelligence platform that connect our manufacturing, financial, sales, and operational systems through modern data architecture and AI. This is not a planning exercise. We have a functioning platform with proven results already in production.
The Role
We are hiring an Enterprise Data & AI Architect to own and extend the data intelligence and AI automation platform that drives our business transformation. You will report directly to the CIO and lead a small BI/analytics team (3-4 members).
This is a hands-on technical leadership role. You will write SQL, build semantic models, design data pipelines, configure AI-assisted workflows, and deliver measurable business outcomes- not just draw architecture diagrams. You'll inherit a functioning platform with real production workloads and be expected to keep it running while expanding its capabilities.
What You'll Do
Data Architecture & Warehousing
  • Own and extend a SQL Server analytics data warehouse with dimensional modeling (star schema, conformed dimensions, fact/dimension tables).
  • Design and maintain data pipelines from multiple legacy source systems (ERP, logistics, workflow management) through to Microsoft Fabric.
  • Handle complex temporal data challenges- reconciling multiple systems with incompatible time grains.
  • Maintain schema governance, documentation, and data lineage.

Business Intelligence & Reporting
  • Build and maintain Power BI semantic models deployed to Microsoft Fabric.
  • Develop DAX measure libraries for financial and operational reporting.
  • Deliver executive dashboards- P&L, Balance Sheet, Flash Reports, cost analysis, operational metrics.
  • Ensure data quality through validation and reconciliation between source systems and reporting layers.

AI & Automation
  • Design and orchestrate AI agent workflows for business process automation.
  • Build workflow automations for data pipelines, alerting, and system integration.
  • Implement agent-assisted analytics- where AI investigates, subject matter experts validate, and the system learns.
  • Manage prompt engineering, AI governance, and safety boundaries for production AI systems.

Manufacturing Cost Intelligence
  • Work with legacy ERP cost models (Activity-Based Costing, BOM structures, GL interaction).
  • Build margin analysis, vendor spend tracking, and cost-per-unit modeling.
  • Reconcile estimated costs against actuals across multiple systems.

Stakeholder Delivery
  • Translate business needs from executives (CFO, CRO, COO) into data products.
  • Manage a portfolio of concurrent analytics projects from intake through delivery.
  • Deliver iteratively- prove value in days, not months.

Team Leadership
  • Lead and mentor a small BI/Analytics team.
  • Distribute work to eliminate single-person bottlenecks and knowledge concentration.
  • Build team capability so institutional knowledge compounds across people, not in one person.
  • Ensure IT governance: proper secrets management, access controls, and security practices.

Requirements
Qualifications
Required
  • 5+ years SQL Server/T-SQL- complex analytical queries, views, stored procedures, dimensional modeling. This is a daily tool, not an occasional one.
  • 3+ years Power BI/DAX- Semantic model development, DAX measures, evaluation context. Experience deploying models to production environments.
  • Microsoft Fabric or equivalent cloud analytics platform- Data warehouse, pipelines, semantic models, workspace governance. Azure Synapse, Databricks, or Snowflake experience translates well.
  • Data Warehouse Design- Dimensional modeling, star schemas, ETL/ELT patterns, slowly-changing dimensions. You've built and maintained a production data warehouse.
  • Python- Data transformation, scripting, and automation. Experience with data science libraries (pandas, scikit-learn) is a plus.
  • Git Version Control- All code, models, and documentation are version-controlled. Comfortable with collaborative development workflows.
  • API Integration- Rest APIs, authentication flows, webhook patterns. You'll connect ERP, logistics, and cloud services.

Strongly Preferred
  • AI/LLM experience- Hands-on with Claude, OpenAI, or similar. Understanding of prompt engineering, agent orchestration, or agentic AI patterns.
  • Workflow Automation Platforms- n8n, Azure Logic Apps, Power Automate, Zapier, or Make. Building automated data flows and business process automation.
  • Manufacturing or industrial ERP systems- Any background with ERP platforms in a manufacturing context (SSAP, Oracle, Infor, Epicor, Amtech or similar). The specific system is learnable; the domain intuition is not.
  • Financial reporting concepts- GL structure, P&L, Balance Sheet, Cost Accounting. You'll partner closely with Finance.
  • PowerShell- Infrastructure scripting, automation, and diagnostics in a Windows/Azure environment.
  • Azure AD/Identity Management- Service accounts, credential lifecycle, gateway authentication.

Nice to Have
  • Experience in packaging, printing, or discrete manufacturing.
  • Change Management Awareness- understanding how technology adoption affects people.
  • Vector database experience (Chroma, Pinecone, Weaviate).
  • Data Vault 2.0 methodology.

What You Don't Need to Know (We'll Teach You)
  • Our Specific ERP system and its data structures- they're well-documented, and you'll have AI-assisted tooling to explore them.
  • Corrugated packaging manufacturing process- the domain is learnable and our platform captures institutional knowledge to help you ramp up.
  • Our specific AI agent framework- if you understand the fundamentals of LLMs and prompt engineering, you'll pick up our implementation quickly.
  • The history of how we got here- what matters is where we're going.

What Success Looks Like
  • First 30 days: Understand the data architecture end-to-end (source systems-data warehouse-Fabric-Power BI)- Take ownership of existing production models and dashboards- Meet with key business stakeholders to understand their priorities- Assess current security Posture.
  • First 90 Days: Deliver 2-3 projects end-to-end with measurable business impact. Reduce single-person dependencies on critical data paths. Implement proper secrets management and access controls. Ensure all platform assets are under enterprise IT governance.
  • First 6 months: Team is delivering analytics projects independently without bottlenecks. Data pipeline architecture is documented, monitored, and resilient. AI automation framework is maintainable by the team, not dependent on any one person. New projects are being triaged and delivered on predictable, repeatable cycles.

What We Offer
  • ESOP Ownership- You become an employee-owner. Your work builds your equity.
  • Direct Impact- Small team, big mandate, CEO-sponsored transformation with proven results.
  • Modern Stack- Microsoft Fabric, Power BI, AI Agents, Git-based development.
  • Autonomy- Build real systems that deliver real business outcomes, not proof-of0concepts that sit on a shelf.
  • Growth- This role expands as the platform expands. You'll shape what it becomes.

Other
  • US Persons Only (US citizens, lawful permanent residents, refugee or asylee - all require proper identification and documentation).
  • Up to 25% travel required.
  • Physical and Environmental Requirements: While performing the duties of this Job, the employee is regularly required to talk or hear. The employee is frequently required to stand and sit. The employee is occasionally required to walk and reach with hands and arms. The employee must occasionally lift and/or move up to 50 pounds. Specific vision abilities required by this job include close vision and color vision.
  • Work Environment: This is a full-time remote or Hybrid position, with occasional travel to Bay Cities Container offices or facilities as needed.
  • In this role, you will be instrumental in shaping Bay Cities Container's data landscape, driving innovation, and enhancing operational efficiency through data-driven insights and solutions.
  • Pre-Employment Verifications: Must pass background and reference checks, drug screen, and physical examination prior to employment.

Apply