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Remote Ai Data Collection Jobs in Lancaster, PA (NOW HIRING)

EnerSys

Senior Finance AI & Automation Developer

Reading, PA · On-site +1

$95K - $142K/yr

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ... Strong understanding of data structure and APIs required * Experience with Python and/or other code ...

Hersheys

Senior Business Analyst Retail Solutions

Hershey, PA · Remote

$87K - $113K/yr

Remote ROLE OVERVIEW: The Senior Business Analyst - Retail Solutions sits at the intersection of ... Proficiency with AI tools to streamline the DevOps and data analysis processes is welcomed. Project ...

Clark National Accounts

AR Specialist

Lititz, PA · On-site +1

$55K - $70K/yr

Manage collection tasks for overdue invoices, employing independent judgment for optimal actions ... Remote Work Qualifications * Access to a reliable and secure high-speed internet connection. Cable ...

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Remote Ai Data Collection information

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$15

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How much do remote ai data collection jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for remote ai data collection in Lancaster, PA is $24.60, according to ZipRecruiter salary data. Most workers in this role earn between $22.64 and $25.24 per hour, depending on experience, location, and employer.

What is remote AI data collection?

Remote AI data collection refers to the process of gathering and labeling data—such as images, audio, text, or video—from various sources using digital tools, often from a remote location. This data is used to train and improve artificial intelligence and machine learning models. People working in this field can perform tasks like annotating images, transcribing audio, or categorizing text, all from their home or another remote setting. The work is essential for creating accurate AI systems and often offers flexible hours. It usually requires basic computer skills and attention to detail.

What skills and qualifications are needed for a remote AI data collection specialist?

To thrive as a Remote AI Data Collection Specialist, you need attention to detail, data management skills, and a basic understanding of machine learning concepts, often supported by a degree in computer science or related fields. Familiarity with data annotation tools, spreadsheets, and platforms like Labelbox or Amazon SageMaker is commonly required. Strong communication, time management, and problem-solving skills are important for collaborating remotely and meeting project deadlines. These abilities ensure accurate, efficient data gathering and annotation, which are critical for the quality and reliability of AI model development.

What are common challenges in a remote AI data collection role, and how can they be managed?

A common challenge in Remote AI Data Collection roles is ensuring data quality and consistency, especially when working independently without direct supervision. It is important to follow detailed guidelines precisely and communicate proactively with project managers or team leads whenever uncertainties arise. Time management and maintaining motivation can also be challenging when working remotely, so setting a structured schedule and leveraging collaboration tools can help. Regular check-ins with the team and staying updated with project requirements are key to overcoming these challenges and delivering reliable results.

What is the difference between Remote Ai Data Collection vs Remote Data Annotator?

AspectRemote Ai Data CollectionRemote Data Annotator
Required CredentialsBasic computer skills, training in data collection toolsAttention to detail, familiarity with annotation software
Work EnvironmentRemote, flexible hours, often on mobile or desktopRemote, flexible hours, often on desktop or specialized platforms
Industry UsageAI training data gathering across various sectorsLabeling and annotating data for machine learning models
Common Search IntentJobs involving data collection for AIJobs focused on data labeling and annotation

Remote Ai Data Collection involves gathering raw data for AI training, often requiring basic technical skills. Remote Data Annotator focuses on labeling and annotating data to improve machine learning models. Both roles are remote, but they differ in tasks and skill requirements, serving different stages of AI data preparation.

What are popular job titles related to Remote Ai Data Collection jobs in Lancaster, PA?

For Remote Ai Data Collection jobs in Lancaster, PA, the most frequently searched job titles are:

What job categories do people searching Remote Ai Data Collection jobs in Lancaster, PA look for?

The top searched job categories for Remote Ai Data Collection jobs in Lancaster, PA are:

What cities near Lancaster, PA are hiring for Remote Ai Data Collection jobs?

Cities near Lancaster, PA with the most Remote Ai Data Collection job openings:

Remote Ai Data Collection jobs near you

AI Business Acceleration Manager (Remote - Harrisburg, PA area)

Middletown, PA • On-site, Remote

TE Connectivity
Engineering Professional Services • 10K+ employees

7.6

Company rating: 7.6 out of 10

Based on 72 frontline employees who took The Breakroom Quiz

85th of 159 rated electronics manufacturers

People enjoy working here

Good employer

Recommended by parents

Learn more about TE Connectivityexternal

Full-time

Medical, Life, Retirement, PTO

Re-posted 17 days ago

Job description

Job Title: AI Business Acceleration Manager (Remote - Harrisburg, PA area)
Posting Start Date: 5/12/26
Job Posting Title: AI Business Acceleration Manager (Remote - Harrisburg, PA area)
Job ID: 152378
Job Code: 30005338
Business Unit: ((businessUnit))
Building: TYCO ELECTRONICS 3101 FMR (128)
Band/Level: 4
Hiring Manager: Payal Jain
Recruiter: Pete Roosendaal
Relocation: No
Travel: Less than 10%
Employee Referral Amount: $1,500.00
Education Experience: Bachelors Degree (High School +4 years)
Employment Experience: 5-7 years
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
Job Description:
Job Overview
The AI Business Acceleration Manager is a hands-on AI product and enablement leader responsible for identifying and delivering high-impact AI and automation initiatives across the ACL sector.
This role focuses on identifying and documenting AI use cases, developing POCs, and collaborating with the Enterprise AI Governance Council to scale practical AI solutions that improve overall operational efficiency and commercial performance. Working closely with various BU leaders and stakeholders across manufacturing, supply chain, marketing, sales, customer care, and data teams, this individual translates business needs into AI-enabled solutions, focusing on driving measurable results through disciplined execution.
***The ideal candidate will reside within a 3-hour drive of the Harrisburg, PA metro area***
Key Responsibilities
AI Use Case Identification & Delivery
• Identify, validate, and prioritize high-value AI and automation opportunities aligned with ACL sector priorities across CLS, IND, and PTS.
• Translate business challenges into actionable AI and automation initiatives, partnering with data, tech teams, and process owners, as needed, to define solutions.
• Ensure solutions are scalable, practical, and embedded into existing workflows.
• Build business cases and define measurable ROI and success criteria for initiatives.
• Establish a demand management framework to identify and prioritize AI and advanced analytics initiatives.
AI Enablement & Adoption
• Promote responsible and effective use of AI tools such as TELme, Copilot, and ChatGPT Enterprise.
• Lead AI Trailblazer team meetings by demonstrating practical use cases that improve day-to-day productivity and decision-making and establish AI champions across various functions.
• Support AI literacy efforts across ACL sector BUs.
• Track adoption and gather feedback to improve ongoing engagement and AI usage.
• Build and sustain an AI community of practice within the ACL sector to share lessons learned, tools, and best practices.
Cross-Functional Execution
• Partner with functional leaders to prioritize use cases based on value and feasibility.
• Coordinate with data, analytics, tech, and process teams to implement AI solutions.
• Remove blockers and drive progress through structured project management.
• Ensure alignment with enterprise platforms (Salesforce, SAP, Databricks, etc.).
• Lead end-to-end delivery of approved AI use cases from concept through pilot and scale.
Data Readiness to enable AI use cases
• Partner closely with the AI Governance Council to ensure priority use cases across ACL BU's are presented for solutioning.
• Partner closely with Data & Analytics teams to ensure priority AI use cases have the data access and quality needed for execution.
• Act as the business bridge, translating AI requirements into clear data needs while ensuring compliance with existing governance and security standards.
• Identify data gaps impacting AI use case execution.
• Support creation of curated datasets required for specific AI initiatives.
Performance Measurement
• Define and track KPIs for AI initiatives (revenue impact, productivity gains, cycle time reduction).
• Monitor pilot performance and recommend scaling decisions.
• Document lessons learned and identify reusable assets.
• Stay current on emerging AI tools and technologies.
What your background should look like:
Qualifications:
• Bachelor's degree in Computer Science, Engineering, Data Science, or related field; advanced degree (MBA, MS, or equivalent) preferred.
• 6-8 years of experience in digital product management, business transformation, AI enablement, or automation.
• Experience delivering AI, analytics, or workflow automation solutions in a matrixed organization.
• Working knowledge of LLMs, prompt engineering, workflow automation tools, or Python scripting.
• Strong understanding of enterprise data environments (Salesforce, SAP, Snowflake, Databricks, etc.).
• Demonstrated ability to translate business challenges into practical digital solutions.
• Strong communication and influence skills; able to inspire adoption and align senior stakeholders.
Success Metrics:
• Successful delivery of prioritized AI use cases within agreed timelines.
• Measurable business value generated (efficiency, revenue enablement, cost reduction).
• Adoption rate of deployed AI tools within supported functions.
• Reusability of developed AI assets across teams.
• Increased AI literacy within supported business units.
• Demonstrated an AI-first mindset and proactive experimentation within ACL BU's.
Join our team and play a pivotal role in transforming how TE Connectivity's ACL Sector leverages AI and automation to drive growth, efficiency, and customer impact. If you're passionate about building innovative AI solutions, raising the bar on digital capability, and shaping the future of how our teams work, we'd love to hear from you!
Competencies
Values: Integrity, Accountability, Inclusion, Innovation, Teamwork
SET : Strategy, Execution, Talent (for managers)
COMPENSATION
• Competitive base salary commensurate with experience: $161,200 - $241,800 (subject to change dependent on physical location)
• Posted salary ranges are made in good faith. TE Connectivity reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as internal and external equity.
• Total Compensation = Base Salary + Incentive(s) + Benefits
BENEFITS
• A comprehensive benefits package including health insurance, 401(k), disability, life insurance, employee stock purchase plan, paid time off and voluntary benefits.
EOE, Including Disability/Vets
IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD
TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.
Job Locations:
United States
Posting City: MIDDLETOWN
Job Country: United States
Travel Required: Less than 10%
Requisition ID: 152378
Workplace Type: Remote
External Careers Page: Information Technology

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