Job Closed
This listing is no longer active.
Virtual Data Entry Clerk
Location
United States
Posted
41 days ago
Salary
0
Seniority
Entry Level
No structured requirement data.
Job Description
Virtual Data Entry Clerk
Reliance Staffing Inc
Role Description Reliance Staffing Inc. is seeking a detail‑oriented Virtual Data Entry Clerk to support our clients by ensuring information is accurately recorded, organized, and maintained. This role is ideal for someone who enjoys structured tasks, values accuracy, and thrives in an independent remote work setting. You will play an important part in keeping data reliable and accessible for teams who depend on it to make informed decisions. - Enter, update, and verify data across various digital platforms and databases - Review incoming information for accuracy, completeness, and consistency - Organize documents and maintain orderly electronic records - Identify errors or discrepancies and correct them promptly - Follow data management guidelines to ensure quality and confidentiality - Communicate with team members when additional information or clarification is needed - Support simple administrative tasks that keep workflows moving smoothly Qualifications - Strong attention to detail and accuracy - Comfortable working with spreadsheets, online forms, and data entry tools - Solid typing skills with a steady and reliable work pace - Ability to stay organized and manage repetitive tasks without losing focus - Clear written communication skills - Reliable internet connection and a suitable remote work setup Requirements - Experience with data entry or administrative support (Nice to Have) - Familiarity with database systems or cloud‑based tools (Nice to Have) - Ability to manage simple data cleanup or formatting tasks (Nice to Have) Benefits - A fully remote role offering flexibility and independence - The opportunity to build experience in digital operations and administrative support - Supportive collaboration with a team that values accuracy, dependability, and continuous learning - Exposure to a variety of clients and projects that help broaden your skill set
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
• Lead data architecture transformations and/or migration to modern cloud solutions, ensuring robustness and scalability of the soltuion. • Design and implement Virtual Cloud solutions including virtual network and management of network routings and subnets. • Design efficient, scalable ETL/ELT pipelines that streamline data processing and integration. Experience with integrating data across disparate systems using APIs and data integration tools • Design scalable, high-performance data models and databases, including Medallion Data Warehouse architecture, Data Lakehouses, dimensión modelling (Star and/or Snowflake schemas), and other relevant design patterns. • Manage one or more Data projects, owning the end-to-end execution and owning responsibilty of the outcomes • Lead cross-functional teams to deliver on client goals, providing technical guidance and ensuring alignment with best practices. • Engage with clients and stakeholders to understand business goals, provide technical expertise, and deliver tailored solutions. • Ensure all designed solutions meet the highest standards of quality, performance cost-effectiveness, and access policy management. • Stay updated with emerging industry trends and technologies, integrating them into solutions to provide added value to clients.
Senior Data Engineer, Finance
InstacartInstacart invites the world to share love through food. This is how homemade is made.
• You will work closely with finance, accounting, billing, and revenue teams to understand their main pain points and translate them into self-serve, reliable, and scalable data solutions. • You are expected to mentor other team members and be a champion of engineering excellence across the organization. • You will be part of a small team with a large amount of ownership and autonomy, managing initiatives directly from design through execution. • You will have the freedom to suggest and drive organization-wide initiatives that shape the financial data vision and roadmap. • You will own critical data integration pipelines and models, ensuring uniform, reliable, timely, and accurate financial reporting.
Audio Annotation Verifier
Welo GlobalWelo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries. At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Role Description Welo Data is looking for experienced quality reviewers to join a high-profile AI training data project in collaboration with one of the world’s leading voice AI platforms. As a Verifier, you will play a critical role in shaping the way AI understands and interacts with people globally by ensuring transcription accuracy and compliance with quality standards. - Review short audio transcriptions (~5 seconds) for accuracy and adherence to guidelines. - Approve correct transcriptions or reject with specific, actionable written feedback. - Identify and correct errors in punctuation, formatting, and style-guide application. - Support Analysts through constructive feedback to enhance overall quality. - Flag recurring issues to the project lead for resolution. Qualifications - Native or near-native fluency in target locale - Turkish. - Exceptional written skills with expert-level command of grammar, punctuation, and style. - Prior experience in quality review, editing, transcription QA, or related fields. - Strong critical eye for subtle errors in formatting and adherence to guidelines. - A reliable computer, high-quality headphones, and stable internet connection. - Ability to provide clear, professional written feedback. - Familiarity with annotation or linguistic QA tools is advantageous but not required. - Availability to commit 10–20 hours per week for up to 6 weeks. Requirements - Commitment of 10-20 hours per week for up to 6 weeks. Benefits - Limitless Flexibility: Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy. - Limitless Growth: Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise. - Limitless Support: Be part of a global contributor community with responsive guidance and support. - Real Impact: Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills. Company Description Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries. At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
• Design, development and optimization of machine learning and deep learning models • Design, implementation and optimization of NLP solutions, large language models (LLMs) and RAG (retrieval-augmented generation) architectures • Building retrieval and knowledge layers for semantic search using embeddings and vector or graph databases • Building, deploying and operating ML and generative AI (GenAI) services • Building and operating scalable data pipelines


