.tb-grid,.tb-grid>.block-editor-inner-blocks>.block-editor-block-list__layout{display:grid;grid-row-gap:25px;grid-column-gap:25px}.tb-grid-item{background:#d38a03;padding:30px}.tb-grid-column{flex-wrap:wrap}.tb-grid-column>*{width:100%}.tb-grid-column.tb-grid-align-top{width:100%;display:flex;align-content:flex-start}.tb-grid-column.tb-grid-align-center{width:100%;display:flex;align-content:center}.tb-grid-column.tb-grid-align-bottom{width:100%;display:flex;align-content:flex-end} .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="a800c7f7983f56e1f9f3a3d15a25529f"] { padding-top: 20px;padding-bottom: 20px;border: 0px solid rgba( 36, 148, 81, 1 );grid-template-columns: minmax(0, 0.25fr) minmax(0, 0.25fr) minmax(0, 0.25fr) minmax(0, 0.25fr);grid-auto-flow: row } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="a800c7f7983f56e1f9f3a3d15a25529f"] > .tb-grid-column:nth-of-type(4n + 1) { grid-column: 1 } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="a800c7f7983f56e1f9f3a3d15a25529f"] > .tb-grid-column:nth-of-type(4n + 2) { grid-column: 2 } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="a800c7f7983f56e1f9f3a3d15a25529f"] > .tb-grid-column:nth-of-type(4n + 3) { grid-column: 3 } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="a800c7f7983f56e1f9f3a3d15a25529f"] > .tb-grid-column:nth-of-type(4n + 4) { grid-column: 4 } .tb-fields-and-text[data-toolset-blocks-fields-and-text="195e089501965b122c18569e34cf6b1b"] { padding-top: 10px; } .tb-grid,.tb-grid>.block-editor-inner-blocks>.block-editor-block-list__layout{display:grid;grid-row-gap:25px;grid-column-gap:25px}.tb-grid-item{background:#d38a03;padding:30px}.tb-grid-column{flex-wrap:wrap}.tb-grid-column>*{width:100%}.tb-grid-column.tb-grid-align-top{width:100%;display:flex;align-content:flex-start}.tb-grid-column.tb-grid-align-center{width:100%;display:flex;align-content:center}.tb-grid-column.tb-grid-align-bottom{width:100%;display:flex;align-content:flex-end} .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="f0e31d660193acaf11948a2c3673a7b7"] { grid-template-columns: minmax(0, 0.335fr) minmax(0, 0.665fr);grid-auto-flow: row } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="f0e31d660193acaf11948a2c3673a7b7"] > .tb-grid-column:nth-of-type(2n + 1) { grid-column: 1 } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="f0e31d660193acaf11948a2c3673a7b7"] > .tb-grid-column:nth-of-type(2n + 2) { grid-column: 2 } .tb-fields-and-text[data-toolset-blocks-fields-and-text="2567880b60f0e64d3c543a6b43e3a746"] { padding-bottom: 20px; } .tb-grid,.tb-grid>.block-editor-inner-blocks>.block-editor-block-list__layout{display:grid;grid-row-gap:25px;grid-column-gap:25px}.tb-grid-item{background:#d38a03;padding:30px}.tb-grid-column{flex-wrap:wrap}.tb-grid-column>*{width:100%}.tb-grid-column.tb-grid-align-top{width:100%;display:flex;align-content:flex-start}.tb-grid-column.tb-grid-align-center{width:100%;display:flex;align-content:center}.tb-grid-column.tb-grid-align-bottom{width:100%;display:flex;align-content:flex-end} .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="b4ba35a082eaf5f3ddf71774e7effd6f"] { grid-template-columns: minmax(0, 0.605fr) minmax(0, 0.395fr);grid-auto-flow: row } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="b4ba35a082eaf5f3ddf71774e7effd6f"] > .tb-grid-column:nth-of-type(2n + 1) { grid-column: 1 } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="b4ba35a082eaf5f3ddf71774e7effd6f"] > .tb-grid-column:nth-of-type(2n + 2) { grid-column: 2 } .tb-grid,.tb-grid>.block-editor-inner-blocks>.block-editor-block-list__layout{display:grid;grid-row-gap:25px;grid-column-gap:25px}.tb-grid-item{background:#d38a03;padding:30px}.tb-grid-column{flex-wrap:wrap}.tb-grid-column>*{width:100%}.tb-grid-column.tb-grid-align-top{width:100%;display:flex;align-content:flex-start}.tb-grid-column.tb-grid-align-center{width:100%;display:flex;align-content:center}.tb-grid-column.tb-grid-align-bottom{width:100%;display:flex;align-content:flex-end} .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="924898f5c635c41dd5487cba6d83d569"] { grid-template-columns: minmax(0, 0.335fr) minmax(0, 0.665fr);grid-row-gap: 10px;grid-auto-flow: row } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="924898f5c635c41dd5487cba6d83d569"] > .tb-grid-column:nth-of-type(2n + 1) { grid-column: 1 } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="924898f5c635c41dd5487cba6d83d569"] > .tb-grid-column:nth-of-type(2n + 2) { grid-column: 2 } .tb-grid,.tb-grid>.block-editor-inner-blocks>.block-editor-block-list__layout{display:grid;grid-row-gap:25px;grid-column-gap:25px}.tb-grid-item{background:#d38a03;padding:30px}.tb-grid-column{flex-wrap:wrap}.tb-grid-column>*{width:100%}.tb-grid-column.tb-grid-align-top{width:100%;display:flex;align-content:flex-start}.tb-grid-column.tb-grid-align-center{width:100%;display:flex;align-content:center}.tb-grid-column.tb-grid-align-bottom{width:100%;display:flex;align-content:flex-end} .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="1613c21c9a17c2fd14665037dce62cfa"] { grid-template-columns: minmax(0, 0.2fr) minmax(0, 0.16fr) minmax(0, 0.27333333333333fr) minmax(0, 0.18333333333333fr) minmax(0, 0.18333333333333fr);grid-auto-flow: row } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="1613c21c9a17c2fd14665037dce62cfa"] p { font-size: 20px;color: rgba( 125, 125, 125, 1 ); } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="1613c21c9a17c2fd14665037dce62cfa"] > .tb-grid-column:nth-of-type(5n + 1) { grid-column: 1 } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="1613c21c9a17c2fd14665037dce62cfa"] > .tb-grid-column:nth-of-type(5n + 2) { grid-column: 2 } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="1613c21c9a17c2fd14665037dce62cfa"] > .tb-grid-column:nth-of-type(5n + 3) { grid-column: 3 } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="1613c21c9a17c2fd14665037dce62cfa"] > .tb-grid-column:nth-of-type(5n + 4) { grid-column: 4 } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="1613c21c9a17c2fd14665037dce62cfa"] > .tb-grid-column:nth-of-type(5n + 5) { grid-column: 5 } .tb-fields-and-text[data-toolset-blocks-fields-and-text="25365352f0586ba74a4bc2109e88a762"] { font-size: 20px;color: rgba( 9, 40, 62, 1 ); } .tb-fields-and-text[data-toolset-blocks-fields-and-text="25365352f0586ba74a4bc2109e88a762"] p { font-size: 20px;color: rgba( 9, 40, 62, 1 ); } .tb-fields-and-text[data-toolset-blocks-fields-and-text="bc0deeaf4ddf2b4b635c19a219409f3f"] { color: rgba( 9, 40, 62, 1 ); } .tb-fields-and-text[data-toolset-blocks-fields-and-text="bc0deeaf4ddf2b4b635c19a219409f3f"] p { color: rgba( 9, 40, 62, 1 ); } .wp-block-toolset-blocks-grid-column.tb-grid-column[data-toolset-blocks-grid-column="3034fbe886c11054e95b46b09d3e4112"] { display: flex; } .tb-fields-and-text[data-toolset-blocks-fields-and-text="93c5c97bc21707fc78a72f6bf21f104e"] { margin-top: -20px; } .tb-fields-and-text[data-toolset-blocks-fields-and-text="a779d194f82cce45870f9e78ba9f0889"] { font-size: 36px;margin-top: -10px;padding-top: -10px;border: 0px solid rgba( 218, 230, 242, 1 ); } .tb-fields-and-text[data-toolset-blocks-fields-and-text="a779d194f82cce45870f9e78ba9f0889"] p { font-size: 36px; } .tb-fields-and-text[data-toolset-blocks-fields-and-text="63c2dcb8092f841fa31d94d4621fa90a"] { padding-bottom: 15px; } .tb-fields-and-text[data-toolset-blocks-fields-and-text="92defc37c58bc95f0959e21855a33c6c"] { margin-bottom: 15px;padding-top: 5px;padding-bottom: 5px;border-top: 1px solid rgba( 218, 230, 242, 1 );border-bottom: 1px solid rgba( 218, 230, 242, 1 );box-shadow: 0 5px 10px -9px rgba( 146, 167, 191, 1 ); } .tb-fields-and-text[data-toolset-blocks-fields-and-text="592a2fa3d8dfe9091f29e10147202769"] { margin-top: -60px; } @media only screen and (max-width: 781px) { .tb-grid,.tb-grid>.block-editor-inner-blocks>.block-editor-block-list__layout{display:grid;grid-row-gap:25px;grid-column-gap:25px}.tb-grid-item{background:#d38a03;padding:30px}.tb-grid-column{flex-wrap:wrap}.tb-grid-column>*{width:100%}.tb-grid-column.tb-grid-align-top{width:100%;display:flex;align-content:flex-start}.tb-grid-column.tb-grid-align-center{width:100%;display:flex;align-content:center}.tb-grid-column.tb-grid-align-bottom{width:100%;display:flex;align-content:flex-end} .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="a800c7f7983f56e1f9f3a3d15a25529f"] { grid-template-columns: minmax(0, 0.3333fr) minmax(0, 0.3333fr) minmax(0, 0.3333fr);grid-auto-flow: row } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="a800c7f7983f56e1f9f3a3d15a25529f"] > .tb-grid-column:nth-of-type(3n + 1) { grid-column: 1 } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="a800c7f7983f56e1f9f3a3d15a25529f"] > .tb-grid-column:nth-of-type(3n + 2) { grid-column: 2 } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="a800c7f7983f56e1f9f3a3d15a25529f"] > .tb-grid-column:nth-of-type(3n + 3) { grid-column: 3 } .tb-grid,.tb-grid>.block-editor-inner-blocks>.block-editor-block-list__layout{display:grid;grid-row-gap:25px;grid-column-gap:25px}.tb-grid-item{background:#d38a03;padding:30px}.tb-grid-column{flex-wrap:wrap}.tb-grid-column>*{width:100%}.tb-grid-column.tb-grid-align-top{width:100%;display:flex;align-content:flex-start}.tb-grid-column.tb-grid-align-center{width:100%;display:flex;align-content:center}.tb-grid-column.tb-grid-align-bottom{width:100%;display:flex;align-content:flex-end} .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="f0e31d660193acaf11948a2c3673a7b7"] { grid-template-columns: minmax(0, 0.5fr) minmax(0, 0.5fr);grid-auto-flow: row } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="f0e31d660193acaf11948a2c3673a7b7"] > .tb-grid-column:nth-of-type(2n + 1) { grid-column: 1 } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="f0e31d660193acaf11948a2c3673a7b7"] > .tb-grid-column:nth-of-type(2n + 2) { grid-column: 2 } .tb-grid,.tb-grid>.block-editor-inner-blocks>.block-editor-block-list__layout{display:grid;grid-row-gap:25px;grid-column-gap:25px}.tb-grid-item{background:#d38a03;padding:30px}.tb-grid-column{flex-wrap:wrap}.tb-grid-column>*{width:100%}.tb-grid-column.tb-grid-align-top{width:100%;display:flex;align-content:flex-start}.tb-grid-column.tb-grid-align-center{width:100%;display:flex;align-content:center}.tb-grid-column.tb-grid-align-bottom{width:100%;display:flex;align-content:flex-end} .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="b4ba35a082eaf5f3ddf71774e7effd6f"] { grid-template-columns: minmax(0, 0.5fr) minmax(0, 0.5fr);grid-auto-flow: row } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="b4ba35a082eaf5f3ddf71774e7effd6f"] > .tb-grid-column:nth-of-type(2n + 1) { grid-column: 1 } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="b4ba35a082eaf5f3ddf71774e7effd6f"] > .tb-grid-column:nth-of-type(2n + 2) { grid-column: 2 } .tb-grid,.tb-grid>.block-editor-inner-blocks>.block-editor-block-list__layout{display:grid;grid-row-gap:25px;grid-column-gap:25px}.tb-grid-item{background:#d38a03;padding:30px}.tb-grid-column{flex-wrap:wrap}.tb-grid-column>*{width:100%}.tb-grid-column.tb-grid-align-top{width:100%;display:flex;align-content:flex-start}.tb-grid-column.tb-grid-align-center{width:100%;display:flex;align-content:center}.tb-grid-column.tb-grid-align-bottom{width:100%;display:flex;align-content:flex-end} .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="924898f5c635c41dd5487cba6d83d569"] { grid-template-columns: minmax(0, 0.5fr) minmax(0, 0.5fr);grid-auto-flow: row } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="924898f5c635c41dd5487cba6d83d569"] > .tb-grid-column:nth-of-type(2n + 1) { grid-column: 1 } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="924898f5c635c41dd5487cba6d83d569"] > .tb-grid-column:nth-of-type(2n + 2) { grid-column: 2 } .tb-grid,.tb-grid>.block-editor-inner-blocks>.block-editor-block-list__layout{display:grid;grid-row-gap:25px;grid-column-gap:25px}.tb-grid-item{background:#d38a03;padding:30px}.tb-grid-column{flex-wrap:wrap}.tb-grid-column>*{width:100%}.tb-grid-column.tb-grid-align-top{width:100%;display:flex;align-content:flex-start}.tb-grid-column.tb-grid-align-center{width:100%;display:flex;align-content:center}.tb-grid-column.tb-grid-align-bottom{width:100%;display:flex;align-content:flex-end} .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="1613c21c9a17c2fd14665037dce62cfa"] { grid-template-columns: minmax(0, 0.3333fr) minmax(0, 0.3333fr) minmax(0, 0.3333fr);grid-auto-flow: row } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="1613c21c9a17c2fd14665037dce62cfa"] > .tb-grid-column:nth-of-type(3n + 1) { grid-column: 1 } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="1613c21c9a17c2fd14665037dce62cfa"] > .tb-grid-column:nth-of-type(3n + 2) { grid-column: 2 } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="1613c21c9a17c2fd14665037dce62cfa"] > .tb-grid-column:nth-of-type(3n + 3) { grid-column: 3 } .wp-block-toolset-blocks-grid-column.tb-grid-column[data-toolset-blocks-grid-column="3034fbe886c11054e95b46b09d3e4112"] { display: flex; }  } @media only screen and (max-width: 599px) { .tb-grid,.tb-grid>.block-editor-inner-blocks>.block-editor-block-list__layout{display:grid;grid-row-gap:25px;grid-column-gap:25px}.tb-grid-item{background:#d38a03;padding:30px}.tb-grid-column{flex-wrap:wrap}.tb-grid-column>*{width:100%}.tb-grid-column.tb-grid-align-top{width:100%;display:flex;align-content:flex-start}.tb-grid-column.tb-grid-align-center{width:100%;display:flex;align-content:center}.tb-grid-column.tb-grid-align-bottom{width:100%;display:flex;align-content:flex-end} .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="a800c7f7983f56e1f9f3a3d15a25529f"] { grid-template-columns: minmax(0, 1fr);grid-auto-flow: row } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="a800c7f7983f56e1f9f3a3d15a25529f"]  > .tb-grid-column:nth-of-type(1n+1) { grid-column: 1 } .tb-grid,.tb-grid>.block-editor-inner-blocks>.block-editor-block-list__layout{display:grid;grid-row-gap:25px;grid-column-gap:25px}.tb-grid-item{background:#d38a03;padding:30px}.tb-grid-column{flex-wrap:wrap}.tb-grid-column>*{width:100%}.tb-grid-column.tb-grid-align-top{width:100%;display:flex;align-content:flex-start}.tb-grid-column.tb-grid-align-center{width:100%;display:flex;align-content:center}.tb-grid-column.tb-grid-align-bottom{width:100%;display:flex;align-content:flex-end} .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="f0e31d660193acaf11948a2c3673a7b7"] { grid-template-columns: minmax(0, 1fr);grid-auto-flow: row } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="f0e31d660193acaf11948a2c3673a7b7"]  > .tb-grid-column:nth-of-type(1n+1) { grid-column: 1 } .tb-grid,.tb-grid>.block-editor-inner-blocks>.block-editor-block-list__layout{display:grid;grid-row-gap:25px;grid-column-gap:25px}.tb-grid-item{background:#d38a03;padding:30px}.tb-grid-column{flex-wrap:wrap}.tb-grid-column>*{width:100%}.tb-grid-column.tb-grid-align-top{width:100%;display:flex;align-content:flex-start}.tb-grid-column.tb-grid-align-center{width:100%;display:flex;align-content:center}.tb-grid-column.tb-grid-align-bottom{width:100%;display:flex;align-content:flex-end} .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="b4ba35a082eaf5f3ddf71774e7effd6f"] { grid-template-columns: minmax(0, 1fr);grid-auto-flow: row } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="b4ba35a082eaf5f3ddf71774e7effd6f"]  > .tb-grid-column:nth-of-type(1n+1) { grid-column: 1 } .tb-grid,.tb-grid>.block-editor-inner-blocks>.block-editor-block-list__layout{display:grid;grid-row-gap:25px;grid-column-gap:25px}.tb-grid-item{background:#d38a03;padding:30px}.tb-grid-column{flex-wrap:wrap}.tb-grid-column>*{width:100%}.tb-grid-column.tb-grid-align-top{width:100%;display:flex;align-content:flex-start}.tb-grid-column.tb-grid-align-center{width:100%;display:flex;align-content:center}.tb-grid-column.tb-grid-align-bottom{width:100%;display:flex;align-content:flex-end} .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="924898f5c635c41dd5487cba6d83d569"] { grid-template-columns: minmax(0, 1fr);grid-row-gap: 10px;grid-auto-flow: row } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="924898f5c635c41dd5487cba6d83d569"]  > .tb-grid-column:nth-of-type(1n+1) { grid-column: 1 } .tb-grid,.tb-grid>.block-editor-inner-blocks>.block-editor-block-list__layout{display:grid;grid-row-gap:25px;grid-column-gap:25px}.tb-grid-item{background:#d38a03;padding:30px}.tb-grid-column{flex-wrap:wrap}.tb-grid-column>*{width:100%}.tb-grid-column.tb-grid-align-top{width:100%;display:flex;align-content:flex-start}.tb-grid-column.tb-grid-align-center{width:100%;display:flex;align-content:center}.tb-grid-column.tb-grid-align-bottom{width:100%;display:flex;align-content:flex-end} .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="1613c21c9a17c2fd14665037dce62cfa"] { grid-template-columns: minmax(0, 0.2fr) minmax(0, 0.2fr) minmax(0, 0.2fr) minmax(0, 0.2fr) minmax(0, 0.2fr);grid-column-gap: 0px;grid-auto-flow: row } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="1613c21c9a17c2fd14665037dce62cfa"] p { font-size: 13px; } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="1613c21c9a17c2fd14665037dce62cfa"] > .tb-grid-column:nth-of-type(5n + 1) { grid-column: 1 } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="1613c21c9a17c2fd14665037dce62cfa"] > .tb-grid-column:nth-of-type(5n + 2) { grid-column: 2 } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="1613c21c9a17c2fd14665037dce62cfa"] > .tb-grid-column:nth-of-type(5n + 3) { grid-column: 3 } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="1613c21c9a17c2fd14665037dce62cfa"] > .tb-grid-column:nth-of-type(5n + 4) { grid-column: 4 } .wp-block-toolset-blocks-grid.tb-grid[data-toolset-blocks-grid="1613c21c9a17c2fd14665037dce62cfa"] > .tb-grid-column:nth-of-type(5n + 5) { grid-column: 5 } .wp-block-toolset-blocks-grid-column.tb-grid-column[data-toolset-blocks-grid-column="3034fbe886c11054e95b46b09d3e4112"] { display: flex; } .tb-fields-and-text[data-toolset-blocks-fields-and-text="92defc37c58bc95f0959e21855a33c6c"] { padding-top: -20px; } .tb-fields-and-text[data-toolset-blocks-fields-and-text="592a2fa3d8dfe9091f29e10147202769"] { padding-top: -20px;margin-top: -20px; }  } 

Data Coder Operator Salary

SALARY JOB OUTLOOK AUTOMATION RISK

Average Data Coder Operator Base Salary in the United States

Average Base Salary

$37,199 Per Year

Salary Range: $24,975 to $50,670

$24,975

10%

$29,626

25%

$ 37,199

AVERAGE

$41,202

75%

$50,670

90%

How Much Does a Data Coder Operator Make Per Year in the United States?

The national average salary for a Data Coder Operator is $37,199 per year in the United States. It can vary depending on the employer and the skills required for that position, but generally, it will be about $37,199 or more annually for a gross salary. Taxes impact salaries, so to get the net salary we’ve crunched the data and gotten the tax information on what the take-home pay would be after the effective income tax rates.

Jobs That are Similar to a Data Coder Operator

Technology Used

Microsoft Excel – Spreadsheet software

Microsoft PowerPoint – Presentation software

SAP business and customer relations management software – Enterprise resource planning ERP software

Database software – Data base user interface and query software

Google Docs – Word processing software

Intuit QuickBooks – Accounting software

Google Drive – Cloud-based data access and sharing software

Healthcare common procedure coding system HCPCS – Medical software

Knowledge and Expertise

Administrative

Customer and Personal Service

Law and Government

Public Safety and Security

Mathematics

Computers and Electronics

Soft Skills

Reading Comprehension

Active Listening

Monitoring

Writing

Time Management

Speaking

What is the salary range of a Data Coder Operator?

Data Coder Operator salaries vary depending on the company you work for, your experience level, industry, education, and years of experience. The average annual salary is around $37,199 but a Data Coder Operator can earn a base salary anywhere from $24,975 to $50,670 per year with some companies paying more than others.

Pay ranges on average for a Data Coder Operator job title only vary a good amount, which may mean that there are many opportunities to earn more income in the future regardless of the employers or your location, industry, and experience.

A salary range that varies also means there is ability to move up within the company, as there may be as many opportunities for advancement or to change your job title. This opportunity for advancement can help with can increase their job satisfaction and motivation.

What are the Highest Salaries for a Data Coder Operator?

The highest Data Coder Operator salaries in the top 10% earn more than $50,670 per year. The salary range for the top 75% – 90% is between and $41,202 and $50,670 annually.

This salary data and salary estimates come from our Average Pay’s salary database of carefully collected and detailed information about pay across many industries and categories, along with different types of labor data.

What are the Lowest Salaries for a Data Coder Operator?

The lowest Data Coder Operator salaries are in the bottom 10% of earners who make less than $24,975 per year. The salary range for the lowest 10% – 25% is between $24,975 and $29,626 annually.

What is a Good Salary for a Data Coder Operator?

If we only look at the data for Data Coder Operator salaries and we don’t compare it to any other jobs, a good salary for a Data Coder Operator job would be over $37,199 per year. This is the average salary for this position in the United States. An excellent pay for a Data Coder Operator would be anything over the top 75%, which is $41,202 annually.

How Can I Increase My Salary as a Data Coder Operator?

There are a few ways you can increase your average salary for a profession as a Data Coder Operator. One way is to get promoted to a higher level and take on more duties within your employer. Another way is to gain more experience and skills in your career. You can also try negotiating higher compensation next performance review, when you are up for renewal or starting a new contract with a business.

Finally, you can look for a new job at a different employer that pays more. One thing not to overlook is companies often give their employees incentives and benefits outside of salaries. The total compensation, like healthcare, paid vacation days, 401k matches, bonuses, overtime, professional development, a career path in the company, and other benefits, need to be considered, which can add up to a lot more money than just a salary increase.

What are the Top Paying Industries for a Data Coder Operator?

The top paying industries for a Data Coder Operator job vary depending on the position’s specific responsibilities, employers, and qualifications. However, some common reported high-paying industries for include the following:

Professional, Scientific, and Technical Services
Administrative and Support and Waste Management and Remediation Services
Administrative and Support Services
Educational Services
Federal, State, and Local Government
Finance and Insurance

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Flex O Writer Operator

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Does a Data Coder Operator Have a Good Quality of Life?

Based on an average 2-bedroom apartment rental price, a Data Coder Operator would pay 15.63% of their monthly take-home pay towards rent. That’s $1,310 per month or $15,720 yearly for a two-bedroom apartment.

The rent is less than 30% of the monthly take-home pay for an Data Coder Operator, which can helps lessen a financial burden and impact their quality of life.

This is because a high rent-to-income ratio would leave less money each month for other expenses, such as food, transportation, recreation, and activities. It can lead to financial stress, impacting overall job satisfaction and motivation.

Considering the cost of living in a city when considering whether to accept a job offer is essential. If the cost of living is too high, it might not be worth it, even if the salary is good.

Does a Data Coder Operator make good money?

In general, a Data Coder Operator can make a decent salary but is a little lower than average. The national average salary is $52,632 annually which is more than the average Data Coder Operator salary, meaning this might not be a livable wage. According to data and labor statistics from the Bureau of Labor Statistics, the average Data Coder Operator pay is below the median salary.

However, salaries can vary depending on the company you work for, what you are responsible for, education, college degree, work experience, job market, and your experience level. The highest-paid can earn upwards of 50,670 per year, while the lowest-paid income is less than 24,975 annually.

If you want to maximize your earnings as a Data Coder Operator, take on more responsibility, and gain more experience in related skills. Also, build interpersonal skills and strong leadership skills, get a certification in your field and then negotiate for a higher salary next performance review, when you are up for renewal or starting a new contract with a business.

The best thing you can do is develop yourself and gain knowledge. Many courses, additional training, and professional development opportunities in your area can help increase your skills and development in your job or related field.

You can also get your resume reviewed and look for a new employer that will hire and pay more or look for a career change that is hiring and may interest you more.

Salaries are also relative to the cost of living in different parts of the country. For example, the compensation for a Data Coder Operator will need to be higher if it is in or closer to larger cities like New York City or some states like California. The increase in pay in these areas is because of the higher than average cost of living and more interested applicants for employment versus someone living in a small town. With the cost of housing increasing and medical care premium costs, it is essential to ensure you are getting paid what you are worth.

How do I know I’m being paid fairly as a Data Coder Operator?

The easiest way is to see how close your current salary is to the average pay for your position in your state and city. If your income is below the estimated average wage in your area, you can try to negotiate for a raise.

You can use our research and tools to discover the average salary for a Data Coder Operator in your city or region to see if you are being compensated fairly. You may also compare your income to similar jobs and careers to determine whether you are underpaid or overpaid. Lastly, you can set up job alerts to see how the job market trends.

A few other ways you can research whether you’re being paid fairly as a Data Coder Operator is to do a job search to look at job postings for similar positions and see the estimate for the listed salary range. You can also talk to people in your network who have similar jobs and ask them what they earn. Finally, you can try negotiating a higher pay when you are up for renewal, having a performance evaluation, or starting a new contract.

What Factors Determine the Salary of a Data Coder Operator?

The money a Data Coder Operator can make each year greatly depends on a few components that determine an average base salary.

The company you work for is one of the main factors that affect how much a Data Coder Operator earns.

The compensation will also depend on the location, as some states and cities have a higher cost of living than others. Other factors that affect compensation are the number of hours worked, company size, job type, level of experience in your career, and location.