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Remote Data Encoder Jobs in Newark, NJ (NOW HIRING)

Zocdoc

Staff Software Engineer, Search

New York, NY · On-site +1

*Please note, we are open to remote candidates for this role. Your Impact on our Mission As a Staff ... From our tier-1 search service and vector search systems to cross-encoder ranking pipelines, your ...

Zocdoc

Staff Software Engineer, Search

New York, NY · On-site +1

Please note, we are open to remote candidates for this role. Your Impact on our Mission As a Staff ... From our tier-1 search service and vector search systems to cross-encoder ranking pipelines, your ...

1 point system

ERP Developer

New York, NY · Remote

Reviews, analyses, and modifies the programming systems including encoding, testing, and debugging ... NET framework, reverse-engineering business logic, and extracting critical data, as well as ...

Jzanus Consulting

Inpatient Coder

Garden City, NY · Remote

$50K/yr

Full-time Remote Inpatient Coder JOB REQUIREMENTS The Jzanus Inpatient Coder will be responsible ... Applying the Uniform Hospital Discharge Data Set (UHDDS) definitions including regulatory ...

Qvest US

Senior Solution Architect

New York, NY · On-site +1

$80K - $400K/yr

With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast ... Design integrations across diverse media systems including MAM, PAM, playout automation, encoding ...

Qvest US

Senior Solution Architect

New York, NY · On-site +1

With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast ... Design integrations across diverse media systems including MAM, PAM, playout automation, encoding ...

Datavant

Profee Coding Consultant - PRN

New York, NY · Remote

$20 - $28/hr

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make ... remote work, and exceptional time management skills. * Experience in computerized encoding and ...

Datavant

Inpatient Audit Specialist FT

New York, NY · Remote

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make ... This role is fully remote with a flexible schedule, allowing you to help shape the future of health ...

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All JobsRemote Data Encoder JobsRemote Data Encoder Jobs in Newark, NJ

Remote Data Encoder information

What is a Remote Data Encoder job?

A Remote Data Encoder is responsible for inputting, updating, and managing data in digital databases or systems from a remote location. They ensure accuracy and efficiency while handling large volumes of information, such as invoices, customer details, or other records. This role typically requires strong typing skills, attention to detail, and familiarity with data management software. Many remote data encoders work as freelancers or for companies that need organized and accurate digital records.

What are the key skills and qualifications needed to thrive in the Remote Data Encoder position, and why are they important?

To thrive as a Remote Data Encoder, you need excellent typing speed and accuracy, attention to detail, and a basic understanding of data management processes, usually supported by a high school diploma or equivalent qualification. Familiarity with spreadsheet applications like Microsoft Excel, data entry software, and occasionally database management systems is often required. Strong time management, self-motivation, and the ability to work independently are valuable soft skills for this remote position. These skills and qualities ensure the efficient, error-free processing of data that organizations rely on for accurate record-keeping and decision-making.

What are some common challenges faced by Remote Data Encoders, and how can I overcome them?

As a Remote Data Encoder, you'll often face challenges such as managing distractions while working from home, maintaining data accuracy under tight deadlines, and handling large volumes of repetitive information. To succeed, it's important to set up a dedicated, quiet workspace, establish a consistent work schedule, and take regular breaks to maintain focus and prevent errors. Keeping open lines of communication with your team or supervisor can help ensure clarity on tasks and expectations. Many successful remote data encoders also use productivity tools or task trackers to stay organized and meet their daily goals.

What are the most commonly searched types of Data Encoder jobs in Newark, NJ? The most popular types of Data Encoder jobs in Newark, NJ are:
What are popular job titles related to Remote Data Encoder jobs in Newark, NJ? For Remote Data Encoder jobs in Newark, NJ, the most frequently searched job titles are:
What job categories do people searching Remote Data Encoder jobs in Newark, NJ look for? The top searched job categories for Remote Data Encoder jobs in Newark, NJ are:
What cities near Newark, NJ are hiring for Remote Data Encoder jobs? Cities near Newark, NJ with the most Remote Data Encoder job openings:
Remote Data Encoder jobs near you
Machine Learning Engineer / Data Scientist

Machine Learning Engineer / Data Scientist

Fusemachines

New York, NY • On-site, Remote

$100K - $120K/yr

Full-time

Posted 16 days ago

Job description

About Fusemachines
Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients' AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.
Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.
Type: Full-time, RemoteRole Overview
We're hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You'll work across the ML lifecycle-from problem framing and data exploration to model development, evaluation, deployment, and monitoring-often in partnership with client stakeholders and internal delivery teams.
You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems.Key Responsibilities
  • Problem Framing & Stakeholder Partnership
    • Translate business questions into ML problem statements (classification, regression, time series forecasting, clustering, anomaly detection, recommendation, etc.).
    • Collaborate with stakeholders to define success metrics, evaluation plans, and practical constraints (latency, interpretability, cost, data availability).
  • Data Analysis & Feature Engineering
    • Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses.
    • Perform data profiling, missingness analysis, leakage checks, and exploratory analysis to guide modeling choices.
    • Build robust feature pipelines (aggregation, encoding, scaling, embeddings where appropriate) and document assumptions.
  • Model Development (Core ML)
    • Train and tune supervised learning models for tabular data (e.g., logistic/linear models, tree-based methods, gradient boosting such as XGBoost/LightGBM/CatBoost, and neural nets for structured data).
    • Apply strong tabular modeling practices: handling missing data, categorical encoding, leakage prevention, class imbalance strategies, calibration, and robust cross-validation.
    • Build time series models (statistical and ML/DL approaches) and validate with proper backtesting.
    • Apply clustering and segmentation techniques (k-means, hierarchical, DBSCAN, Gaussian mixtures) and evaluate stability and usefulness.
    • Apply statistics in practice (hypothesis testing, confidence intervals, sampling, experiment design) to support inference and decision-making.
  • Deep Learning
    • Build and train deep learning models using PyTorch or TensorFlow/Keras.
    • Use best practices for training (regularization, calibration, class imbalance handling, reproducibility, sound train/val/test design).
  • Evaluation, Explainability, and Iteration
    • Choose appropriate metrics (AUC/F1/PR, RMSE/MAE/MAPE, calibration, lift, and business KPIs) and create evaluation reports.
    • Perform error analysis and interpretation (feature importance/SHAP, cohort slicing) and iterate based on evidence.
  • Productionization & MLOps (Project-Dependent)
    • Package models for deployment (batch scoring pipelines or real-time APIs) and collaborate with engineers on integration.
    • Implement practical MLOps: versioning, reproducible training, automated evaluation, monitoring for drift/performance, and retraining plans.
  • Documentation & Communication
    • Communicate tradeoffs and recommendations clearly to technical and non-technical stakeholders.
    • Create documentation and lightweight demos that make results actionable.
Success in This Role Looks Like
  • You deliver models that perform well and move business metrics (revenue lift, cost reduction, risk reduction, improved forecast accuracy, operational efficiency).
  • Your work is reproducible and production-aware: clear data lineage, robust evaluation, and a credible path to deployment/monitoring.
  • Stakeholders trust your judgment in selecting methods and communicating uncertainty honestly.
Required Qualifications
  • 3-8 years of experience in data science, machine learning engineering, or applied ML (mid-to-senior).
  • Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent).
  • Strong SQL skills (joins, window functions, aggregation, performance awareness).
  • Solid foundation in statistics (hypothesis testing, uncertainty, bias/variance, sampling) and practical experimentation mindset.
  • Hands-on experience across multiple model types, including:
    • Classification & regression
    • Time series forecasting
    • Clustering/segmentation
  • Experience with deep learning in PyTorch or TensorFlow/Keras.
  • Strong problem-solving skills: ability to work with ambiguous goals and messy data.
  • Clear communication skills and ability to translate analysis into decisions.
Preferred Qualifications
  • Experience with Databricks for applied ML (e.g., Spark, Delta Lake, MLflow, Databricks Jobs/Workflows).
  • Experience deploying models to production (APIs, batch pipelines) and maintaining them over time (monitoring, retraining).
  • Experience with orchestration tools (Airflow, Prefect, Dagster) and modern data stacks (Snowflake/BigQuery/Redshift/Databricks).
  • Experience with cloud platforms (AWS/GCP/Azure/IBM) and containerization (Docker).
  • Experience with responsible AI and governance best practices (privacy/PII handling, auditability, access controls).
  • Consulting or client-facing delivery experience.

Certifications (Strong Plus)
Candidates with at least one relevant certification are especially encouraged to apply:
  • Cloud certifications: AWS, Google Cloud, Microsoft Azure, or IBM (data/AI/ML tracks)
  • Databricks certifications (Data Scientist, Data Engineer, or related)
Nice-to-Have
  • Causal inference experience (e.g., quasi-experimental methods, propensity scores, uplift/heterogeneous treatment effects, experimentation beyond A/B tests).
  • Agentic development experience: designing and evaluating agentic workflows (tool use, planning, memory/state, guardrails) and integrating them into products.
  • Deep familiarity with agentic coding tools and workflows for accelerated product development (e.g., AI-assisted IDEs, code agents, automated testing/refactoring, repo-aware assistants), including strong judgment on quality, security, and maintainability.

Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.
Important: Immigration Sponsorship Policy
Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including:
  • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas.
  • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation.
  • Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT).

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